inquanto.ansatzes¶

Basic ansatzes¶

class GeneralAnsatz(reference, *args, **kwargs)¶

Bases: Symbolic, Representable

Base class for a quantum state that can be represented with a single circuit.

Parameters:

reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – A reference state circuit or any valid initializer for reference_circuit_builder().
args (Any) –
kwargs (Any) –

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

This proceeds via decomposition of boxes in the state preparation circuit, followed by rebasing to the native TKET gateset (CX, TK1, Phase). Analysis of the circuit is performed on a copy – the original circuit stored in this object is left unmodified.

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: BasePass – A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

abstract free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

abstract get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

Union[_Buffer, _SupportsArray[dtype[Any]], _NestedSequence[_SupportsArray[dtype[Any]]], bool, int, float, complex, str, bytes, _NestedSequence[bool | int | float | complex | str | bytes]] – A matrix/vector representing the object.

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

abstract symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState()¶

Create a symbolic QubitState representation of the ansatz.

Returns:: QubitState – Ansatz as a QubitState.

abstract unsympify(precision=15)¶

Unsympifies dictionary values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision for evaluation.
Returns:: GeneralAnsatz – Updated instance of GeneralAnsatz. This operation is in-place.

class CircuitAnsatz(circuit, reference=None)¶

Bases: GeneralAnsatz

An ansatz that stores a single symbolic circuit.

Parameters:

circuit (Circuit) – A symbolic circuit.
reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit, None], default: None) – An optional reference state circuit or any valid initializer for reference_circuit_builder().

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: BasePass – A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: CircuitAnsatz – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState()¶

Create a symbolic QubitState representation of the ansatz.

Returns:: QubitState – Ansatz as a QubitState.

unsympify(precision=15)¶

Unsympifies dictionary values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values. For CircuitAnsatz, this has no effect.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision for evaluation.
Returns:: CircuitAnsatz – Updated instance of CircuitAnsatz. This operation is in-place.

class ComposedAnsatz(*ansatzes, reference=None)¶

Bases: CircuitAnsatz

Composes circuit ansatzes into one circuit ansatz.

Note

The composed circuit is built by applying the arguments of the ComposedAnsatz constructor in reverse order. i.e. for two instances of CircuitAnsatz A, B, the composed circuit of ComposedAnsatz(A, B) represents the state AB \(|0\rangle\), hence B is applied first.

Examples

>>> A = CircuitAnsatz(Circuit(1).Y(0))
>>> B = CircuitAnsatz(Circuit(1).Z(0), [1])
>>> ComposedAnsatz(A, B).get_circuit()
[X q[0]; Z q[0]; Y q[0]; ]
>>> C = CircuitAnsatz(Circuit(1).Y(0))
>>> D = CircuitAnsatz(Circuit(1).Z(0))
>>> ComposedAnsatz(C, D, reference = [1]).get_circuit()
[X q[0]; Z q[0]; Y q[0]; ]

Parameters:

*ansatzes (GeneralAnsatz) – Sequence of circuit ansatzes that will be appended together.
reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit, None], default: None) – An optional reference state circuit or any valid initializer for reference_circuit_builder().

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: BasePass – A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: CircuitAnsatz – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState()¶

Create a symbolic QubitState representation of the ansatz.

Returns:: QubitState – Ansatz as a QubitState.

unsympify(precision=15)¶

Unsympifies dictionary values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values. For CircuitAnsatz, this has no effect.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision for evaluation.
Returns:: CircuitAnsatz – Updated instance of CircuitAnsatz. This operation is in-place.

class TrotterAnsatz(exponents, reference=None)¶

Bases: GeneralAnsatz

Ansatz representing a state built from a product of Pauli-exponentials.

This is at the core of the UCC family of ansatzes in InQuanto.

Note: This class requires numerical operators within the input QubitOperatorList.

Parameters:

exponents (QubitOperatorList) – Contains exponent and symbol data.
reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit, None], default: None) – An optional reference state circuit or any valid initializer for reference_circuit_builder().

Examples

>>> from inquanto.states import QubitState
>>> exponents = QubitOperatorList.from_string("a [(1j, Y0 X2)], b [(1j, Y1 X3)]")
>>> ref = QubitState([1, 1, 0, 0])
>>> ansatz = TrotterAnsatz(exponents, reference=ref)
>>> ansatz.free_symbols_ordered().as_list() # returns an lexicographically ordered set of symbols
[a, b]
>>> ansatz.free_symbols() == {Symbol("a"), Symbol("b")} # returns a set of symbols
True
>>> ansatz.subs("new_{}").free_symbols() == {Symbol("new_a"), Symbol("new_b")} # new instance
True
>>> ansatz2 = ansatz.symbol_substitution("new_{}")  # in-place substitution
>>> ansatz2 is ansatz
True
>>> ansatz.free_symbols() == {Symbol("new_a"), Symbol("new_b")}
True

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

property exponents: QubitOperatorList¶: Returns the qubit operator exponents.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: TrotterAnsatz – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: The Ansatz state.

to_QubitState_direct(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: QubitState – The Ansatz state.

unsympify(precision=15)¶

Unsympifies coefficient values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision used for evaluation.
Returns:: TrotterAnsatz – Updated instance of TrotterAnsatz. This operation is in-place.

reference_circuit_builder(initializer)¶

Building a non-symbolic reference circuit.

Parameters:

initializer (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit, None]) –

A non-symbolic initializer circuit or an object that can be converted to one.

If initializer is an int, an empty initializer circuit is created with initializer number of qubits.
If initializer is a list of qubit-s, an empty initializer circuit is created with the qubits.
If initializer is a list of 0 or 1-s, an initializer circuit is created and X gate is added for
indices where the initializer[index] == 1.
If initializer is a QubitSpace, an empty initializer circuit is created with
qubits in the QubitSpace.
If initializer is a non-symbolic QubitState, an initializer circuit is created
that represents the initializer state.

Returns:

Optional[Circuit] – A non-symbolic reference circuit.

Fermion Space ansatzes¶

class FermionSpaceStateExp(fermion_operator_exponents, fock_state, qubit_mapping=QubitMappingJordanWigner(), qubits=None, taperer=None, tapering_exponent_check_behavior='except', *args, **kwargs)¶

Bases: TrotterAnsatz

Fermion operator exponentiation (e.g. for UCC). Also initializes state trotterization.

Qubit tapering can optionally be performed. To enable qubit tapering, pass a TapererZ2 object to taperer. Tapering behavior can be modified by passing tapering_exponent_check_behavior as specified below.

Parameters:

fermion_operator_exponents (FermionOperatorList) – Excitation operators (anti-hermitian for UCC).
fock_state (FermionState) – Spin orbital occupations.
qubit_mapping (QubitMapping, default: QubitMappingJordanWigner()) – How to map fock state operators and states to qubit operators and circuits.
qubits (Optional[List[Qubit]], default: None) – The qubit register used to represent the ansatz state. If no register is provided, a minimal register consisting of qubits indexed from 0 to N is built, where N is the number of spin-orbitals in the reference state provided. Note that this may include qubits corresponding to spin-orbitals which the excitations do not act on.
taperer (TapererZ2, default: None) – The taperer object used to control how the ansatz is tapered. Set to None (default) to skip.
tapering_exponent_check_behavior (str, default: "except") –
Controls treatment of exponents which don’t commute with the Z2 symmetry operators. Options are:
- "except": Tests each exponent and throws an exception if any exponent does not commute with the symmetry operators.
- "skip": Skips exponent testing entirely. This may be dangerous (and is untested) but will be faster when exponents are known to be safe.
- "discard": Tests each exponent and discards any that don’t commute with the Z2 symmetry operators. This should only discard excitations which don’t contribute to the ground state, but may be unsafe.
*args – Additional arguments offered by parent object.
**kwargs – Additional keyword arguments offered by parent object.

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

property exponents: QubitOperatorList¶: Returns the qubit operator exponents.

property fermion_operator_exponents: FermionOperatorList¶: Returns the list of exponents of the exponential product included in the ansatz.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: TrotterAnsatz – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: The Ansatz state.

to_QubitState_direct(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: QubitState – The Ansatz state.

unsympify(precision=15)¶

Unsympifies exponents and coefficient values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision used for evaluation.
Returns:: FermionSpaceStateExp – Updated instance of FermionSpaceStateExp. This operation is in-place.

class FermionSpaceAnsatzUCCSD(fermion_space, fermion_state, qubit_mapping=QubitMappingJordanWigner(), *args, **kwargs)¶

Bases: FermionSpaceStateExp

Unitary coupled cluster with singles and doubles excitations (UCCSD).

Builds ansatz for a given fermion_space and fermion_state.

Parameters:

fermion_space (Union[FermionSpace, int]) – Spin orbital indices, occupations, and spatial orbitals indices.
fermion_state (FermionState) – Spin orbital occupations.
qubit_mapping (QubitMapping, default: QubitMappingJordanWigner()) – How to map fock state operators and states to qubit operators and circuits.
*args – Additional arguments offered by parent object.
**kwargs – Additional keyword arguments offered by parent object.

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

property exponents: QubitOperatorList¶: Returns the qubit operator exponents.

property fermion_operator_exponents: FermionOperatorList¶: Returns the list of exponents of the exponential product included in the ansatz.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: TrotterAnsatz – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: The Ansatz state.

to_QubitState_direct(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: QubitState – The Ansatz state.

unsympify(precision=15)¶

Unsympifies exponents and coefficient values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision used for evaluation.
Returns:: FermionSpaceStateExp – Updated instance of FermionSpaceStateExp. This operation is in-place.

class FermionSpaceAnsatzUCCD(fermion_space, fermion_state, qubit_mapping=QubitMappingJordanWigner(), *args, **kwargs)¶

Bases: FermionSpaceStateExp

Unitary coupled cluster with doubles excitations, no singles (UCCD).

Builds ansatz for a given fermion_space and fermion_state.

Parameters:

fermion_space (Union[FermionSpace, int]) – Spin orbital indices, occupations, and spatial orbitals indices.
fermion_state (FermionState) – Spin orbital occupations.
qubit_mapping (QubitMapping, default: QubitMappingJordanWigner()) – How to map fock state operators and states to qubit operators and circuits.
*args – Additional arguments offered by parent object.
**kwargs – Additional keyword arguments offered by parent object.

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

property exponents: QubitOperatorList¶: Returns the qubit operator exponents.

property fermion_operator_exponents: FermionOperatorList¶: Returns the list of exponents of the exponential product included in the ansatz.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: TrotterAnsatz – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: The Ansatz state.

to_QubitState_direct(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: QubitState – The Ansatz state.

unsympify(precision=15)¶

Unsympifies exponents and coefficient values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision used for evaluation.
Returns:: FermionSpaceStateExp – Updated instance of FermionSpaceStateExp. This operation is in-place.

class FermionSpaceStateExpChemicallyAware(fermion_operator_exponents, fermion_state)¶

Bases: GeneralAnsatz

Efficient fermion operator exponentiation (e.g. for UCC). Also initializes state trotterization.

Synthesizes molecular orbital to molecular orbital double excitations uniquely. Changes trotter order of excitations to synthesize circuit with fewer two qubit gates compared to FermionSpaceStateExp. Circuit is synthesized in Jordan-Wigner encoding.

Parameters:

fermion_operator_exponents (FermionOperatorList) – Contains exponents and symbols. Assumes input exponents are ordered as single exponents first, followed by double exponents.
fermion_state (FermionState) – Initial fermionic reference state.

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: BasePass – A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

property fermion_operator_exponents: FermionOperatorList¶: Returns the list of exponents of the exponential product included in the ansatz.

free_symbols()¶

Returns the free symbols in the object.

Returns:: set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None, compiler_pass=None)¶

Constructs a single state circuit.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass (Optional[BasePass], default: None) –

Returns:

Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: FermionSpaceStateExpChemicallyAware – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState()¶

Create a symbolic QubitState representation of the ansatz.

Returns:: QubitState – Ansatz as a QubitState.

unsympify(precision=15)¶

Unsympifies dictionary values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values.

Parameters:

precision (int, default: 15) – The number of decimal digits of precision used for evaluation.
partial – Set to True to allow partial unsympification where terms containing free symbols are present. By default, free symbols in any coefficient will cause an exception.

Returns:

FermionSpaceStateExpChemicallyAware – Updated instance of FermionSpaceStateExpChemicallyAware. This operation is in-place.

class FermionSpaceAnsatzChemicallyAwareUCCSD(fermion_space, fermion_state, *args, **kwargs)¶

Bases: FermionSpaceStateExpChemicallyAware

Chemically aware unitary coupled cluster with singles and doubles excitations (UCCSD).

Described in https://doi.org/10.1063/5.0144680.

Builds ansatz for a given fermion_space and fermion_state. Circuit is synthesized in Jordan-Wigner encoding.

Parameters:

fermion_space (Union[FermionSpace, int]) – Spin orbital indices, occupations, and spatial orbitals indices.
fermion_state (FermionState) – Spin orbital occupations.
*args – Additional arguments offered by parent object.
**kwargs – Additional keyword arguments offered by parent object.

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: BasePass – A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

property fermion_operator_exponents: FermionOperatorList¶: Returns the list of exponents of the exponential product included in the ansatz.

free_symbols()¶

Returns the free symbols in the object.

Returns:: set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None, compiler_pass=None)¶

Constructs a single state circuit.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass (Optional[BasePass], default: None) –

Returns:

Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: FermionSpaceStateExpChemicallyAware – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState()¶

Create a symbolic QubitState representation of the ansatz.

Returns:: QubitState – Ansatz as a QubitState.

unsympify(precision=15)¶

Unsympifies dictionary values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values.

Parameters:

precision (int, default: 15) – The number of decimal digits of precision used for evaluation.
partial – Set to True to allow partial unsympification where terms containing free symbols are present. By default, free symbols in any coefficient will cause an exception.

Returns:

FermionSpaceStateExpChemicallyAware – Updated instance of FermionSpaceStateExpChemicallyAware. This operation is in-place.

class FermionSpaceAnsatzkUpCCGD(fermion_space, fermion_state, k_input, qubit_mapping=QubitMappingJordanWigner(), *args, **kwargs)¶

Bases: FermionSpaceStateExp

k-UpCCGD Ansatz.

Ansatz consisting of k factors of variationally independent unitary coupled cluster operators with generalized spin-paired doubles excitations, no singles (k-UpCCGD).

Here, generalized means occupied and virtual orbital subspaces are undistinguished, hence occupied-occupied and virtual-virtual excitations are included. See https://arxiv.org/abs/1810.02327 for more details.

Parameters:

fermion_space (Union[FermionSpace, int]) – Spin orbital indices, occupations, and spatial orbitals indices.
fermion_state (FermionState) – Spin orbital occupations.
k_input (int) – Value of k in k-UpCC; results in k cluster operators.
qubit_mapping (QubitMapping, default: QubitMappingJordanWigner()) – How to map fock state operators and states to qubit operators and circuits.
*args – Additional arguments offered by parent object.
**kwargs – Additional keyword arguments offered by parent object.

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

property exponents: QubitOperatorList¶: Returns the qubit operator exponents.

property fermion_operator_exponents: FermionOperatorList¶: Returns the list of exponents of the exponential product included in the ansatz.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: TrotterAnsatz – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: The Ansatz state.

to_QubitState_direct(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: QubitState – The Ansatz state.

unsympify(precision=15)¶

Unsympifies exponents and coefficient values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision used for evaluation.
Returns:: FermionSpaceStateExp – Updated instance of FermionSpaceStateExp. This operation is in-place.

class FermionSpaceAnsatzkUpCCGSD(fermion_space, fermion_state, k_input, qubit_mapping=QubitMappingJordanWigner(), *args, **kwargs)¶

Bases: FermionSpaceStateExp

k-UpCCGSD ansatz.

Ansatz consisting of k factors of variationally independent unitary coupled cluster operators with fully generalized singles and generalized spin-paired doubles excitations (k-UpCCGSD).

Parameters:

fermion_space (Union[FermionSpace, int]) – Spin orbital indices, occupations, and spatial orbitals indices.
fermion_state (FermionState) – Spin orbital occupations.
k_input (int) – Value of k in k-UpCC; results in k cluster operators.
qubit_mapping (QubitMapping, default: QubitMappingJordanWigner()) – How to map fock state operators and states to qubit operators and circuits.
*args – Additional arguments offered by parent object.
**kwargs – Additional keyword arguments offered by parent object.

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

property exponents: QubitOperatorList¶: Returns the qubit operator exponents.

property fermion_operator_exponents: FermionOperatorList¶: Returns the list of exponents of the exponential product included in the ansatz.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: TrotterAnsatz – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: The Ansatz state.

to_QubitState_direct(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: QubitState – The Ansatz state.

unsympify(precision=15)¶

Unsympifies exponents and coefficient values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision used for evaluation.
Returns:: FermionSpaceStateExp – Updated instance of FermionSpaceStateExp. This operation is in-place.

class FermionSpaceAnsatzkUpCCGSDSinglet(fermion_space, fermion_state, k_input, qubit_mapping=QubitMappingJordanWigner(), *args, **kwargs)¶

Bases: FermionSpaceStateExp

k-UpCCGSDSinglet ansatz.

Ansatz consisting of k factors of variationally independent unitary coupled cluster operators with fully generalized singles and generalized spin paired doubles excitations.

Adapted to singlets, so alpha-alpha and beta-beta single excitations between a given pair of spatial orbitals have the same parameter.

Parameters:

fermion_space (Union[FermionSpace, int]) – Spin orbital indices, occupations, and spatial orbitals indices.
fermion_state (FermionState) – Spin orbital occupations.
k_input (int) – Value of k in k-UpCC; results in k cluster operators.
qubit_mapping (QubitMapping, default: QubitMappingJordanWigner()) – How to map fock state operators and states to qubit operators and circuits.
*args – Additional arguments offered by parent object.
**kwargs – Additional keyword arguments offered by parent object.

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

property exponents: QubitOperatorList¶: Returns the qubit operator exponents.

property fermion_operator_exponents: FermionOperatorList¶: Returns the list of exponents of the exponential product included in the ansatz.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: TrotterAnsatz – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: The Ansatz state.

to_QubitState_direct(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: QubitState – The Ansatz state.

unsympify(precision=15)¶

Unsympifies exponents and coefficient values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision used for evaluation.
Returns:: FermionSpaceStateExp – Updated instance of FermionSpaceStateExp. This operation is in-place.

class FermionSpaceAnsatzUCCGD(fermion_space, fermion_state, qubit_mapping=QubitMappingJordanWigner(), *args, **kwargs)¶

Bases: FermionSpaceStateExp

Unitary coupled cluster with fully generalized doubles excitations, no singles (UCCGD).

Parameters:

fermion_space (Union[FermionSpace, int]) – Spin orbital indices, occupations, and spatial orbitals indices.
fermion_state (FermionState) – Spin orbital occupations.
qubit_mapping (QubitMapping, default: QubitMappingJordanWigner()) – How to map fock state operators and states to qubit operators and circuits.
*args – Additional arguments offered by parent object.
**kwargs – Additional keyword arguments offered by parent object.

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

property exponents: QubitOperatorList¶: Returns the qubit operator exponents.

property fermion_operator_exponents: FermionOperatorList¶: Returns the list of exponents of the exponential product included in the ansatz.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: TrotterAnsatz – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: The Ansatz state.

to_QubitState_direct(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: QubitState – The Ansatz state.

unsympify(precision=15)¶

Unsympifies exponents and coefficient values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision used for evaluation.
Returns:: FermionSpaceStateExp – Updated instance of FermionSpaceStateExp. This operation is in-place.

class FermionSpaceAnsatzUCCGSD(fermion_space, fermion_state, qubit_mapping=QubitMappingJordanWigner(), *args, **kwargs)¶

Bases: FermionSpaceStateExp

Unitary coupled cluster with fully generalized singles and doubles excitations (UCCGSD).

Parameters:

fermion_space (Union[FermionSpace, int]) – Spin orbital indices, occupations, and spatial orbitals indices.
fermion_state (FermionState) – Spin orbital occupations.
qubit_mapping (QubitMapping, default: QubitMappingJordanWigner()) – How to map fock state operators and states to qubit operators and circuits.
*args – Additional arguments offered by parent object.
**kwargs – Additional keyword arguments offered by parent object.

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

property exponents: QubitOperatorList¶: Returns the qubit operator exponents.

property fermion_operator_exponents: FermionOperatorList¶: Returns the list of exponents of the exponential product included in the ansatz.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: TrotterAnsatz – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: The Ansatz state.

to_QubitState_direct(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: QubitState – The Ansatz state.

unsympify(precision=15)¶

Unsympifies exponents and coefficient values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision used for evaluation.
Returns:: FermionSpaceStateExp – Updated instance of FermionSpaceStateExp. This operation is in-place.

class FermionSpaceAnsatzUCCSDSinglet(fermion_space, fermion_state, qubit_mapping=QubitMappingJordanWigner(), *args, **kwargs)¶

Bases: FermionSpaceStateExp

Unitary coupled cluster with singles and doubles excitations (UCCSD).

Builds ansatz for a given fermion_space and fermion state.

Adapted to singlets, so alpha-alpha and beta-beta single excitations between a given pair of spatial orbitals have the same parameter.

Parameters:

fermion_space (Union[FermionSpace, int]) – Spin orbital indices, occupations, and spatial orbitals indices.
fermion_state (FermionState) – Spin orbital occupations.
qubit_mapping (QubitMapping, default: QubitMappingJordanWigner()) – How to map fock state operators and states to qubit operators and circuits.
*args – Additional arguments offered by parent object.
**kwargs – Additional keyword arguments offered by parent object.

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

property exponents: QubitOperatorList¶: Returns the qubit operator exponents.

property fermion_operator_exponents: FermionOperatorList¶: Returns the list of exponents of the exponential product included in the ansatz.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: TrotterAnsatz – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: The Ansatz state.

to_QubitState_direct(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: QubitState – The Ansatz state.

unsympify(precision=15)¶

Unsympifies exponents and coefficient values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision used for evaluation.
Returns:: FermionSpaceStateExp – Updated instance of FermionSpaceStateExp. This operation is in-place.

Multi-configurational ansatzes¶

class MultiConfigurationAnsatz(configurations, reference=None)¶

Bases: GeneralAnsatz

Variational ansatz consisting of selected occupation configurations, using Givens rotations.

Consists of occupation configurations which have symbolic coefficients.

Follows logic of https://quantum-journal.org/papers/q-2022-06-20-742/, with in-house developed procedures to control Givens rotations.

Finds necessary controls of Givens rotation boxes using method based on hamming distances (and their qubit-wise decompositions) of all configurations relative to the first.

For single excitations (2 qubits), hamming distance = 2, the 1-body Givens rotation (G1) in Figure 12 of https://quantum-journal.org/papers/q-2022-06-20-742/ is used.

For double excitations (4 qubits), hamming distance = 4, the 2-body Givens rotation (G2) in Figure 11 of https://quantum-journal.org/papers/q-2022-06-20-742/ is used.

Excitations that are higher than doubles are achieved by nesting a controlled G1 inside a ladder of controlled-SWAPs (G1(>2)).

Note

Supports only basis configurations which have the same number of 1s in the bit string. This corresponds to configurations with the same particle number as Jordan-Wigner encoding is assumed.

Parameters:

configurations (List[QubitStateString]) – List of QubitStateString objects providing the basis configurations for the ansatz linear combination.
reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit, None], default: None) – An optional reference state circuit or any valid initializer for reference_circuit_builder().

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: MultiConfigurationAnsatz – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState()¶

Create a symbolic QubitState representation of the ansatz.

Returns:: QubitState – Ansatz as a QubitState.

unsympify(precision=15)¶

Unsympifies dictionary values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values. For MultiConfigurationAnsatz, this has no effect.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision for evaluation.
Returns:: MultiConfigurationAnsatz – Updated instance of MultiConfigurationAnsatz. This operation is in-place.

class MultiConfigurationState(input_states)¶

Bases: GeneralAnsatz

State preparation for a selected linear combination of occupation configurations with fixed coefficients.

Configuration coefficients must be real-valued.

Follows logic of https://quantum-journal.org/papers/q-2022-06-20-742/, with in-house developed procedures to control Givens rotations.

Finds necessary controls of Givens rotation boxes using method based on hamming distances (and their qubit-wise decompositions) of all configurations relative to the first.

For single excitations (2 qubits), hamming distance = 2, the 1-body Givens rotation (G1) in Figure 12 of https://quantum-journal.org/papers/q-2022-06-20-742/ is used.

For double excitations (4 qubits), hamming distance = 4, the 2-body Givens rotation (G2) in Figure 11 of https://quantum-journal.org/papers/q-2022-06-20-742/ is used.

Excitations that are higher than doubles are achieved by nesting a controlled G1 inside a ladder of controlled-SWAPs (G1(>2)).

Note

Supports only basis configurations which have the same number of 1s in the bit string. This corresponds to configurations with the same particle number as Jordan-Wigner encoding is assumed.

Parameters:: input_states (QubitState) – Multi-reference qubit state input, providing basis configurations and numerical coefficients. Coefficients must be real and normalized.

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState()¶

Create a symbolic QubitState representation of the ansatz.

Returns:: QubitState – Ansatz as a QubitState.

unsympify(precision=15)¶

Unsympifies coefficients in the input states.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision used for evaluation.
Returns:: MultiConfigurationState – Updated instance of MultiConfigurationState.

class MultiConfigurationStateBox(input_states)¶

Bases: GeneralAnsatz

State preparation for a selected linear combination of occupation configurations with fixed coefficients.

Serves as a wrapper for pytket’s StatePreparationBox.

Converts input QubitState to ndarray state vector (exponentially scaling), passes this to StatePreparationBox which prepares the state vector using multiplexed-Ry and multiplexed-Rz gates.

See https://cqcl.github.io/tket/pytket/api/circuit.html#pytket.circuit.StatePreparationBox.

Parameters:: input_states (QubitState) – Multi-reference QubitState input, providing basis configurations and numerical coefficients.

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState()¶

Create a symbolic QubitState representation of the ansatz.

Returns:: QubitState – Ansatz as a QubitState.

unsympify(precision=15)¶

Unsympifies coefficients in the configuration state strings and the input states.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision for evaluation.
Returns:: MultiConfigurationStateBox – Updated instance of MultiConfigurationStateBox. This operation is in-place.

Rotational ansatzes¶

class RealGeneralizedBasisRotationAnsatz(reference)¶

Bases: BaseRealBasisRotationAnsatz

Basis rotation ansatz that allows for generalized real unitary rotations.

Constructs the ansatz \(\hat{R} \ket{\Psi}\) where \(\hat{R}\) is given by the Thouless theorem: \(\hat{R} = \exp\left[ \sum_{ij}[\ln U]_{ij} a_i^\dagger a_j \right]\) and \(U\) is a single-particle basis rotation matrix (real, unitary). See https://arxiv.org/abs/1711.04789.

Note

Supports generalized rotations which may mix spin channels.

Note

Uses a Jordan-Wigner mapping for encoding rotations.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Initial reference state, \(\ket{\Psi}\) above. Can be any valid initializer for reference_circuit_builder().

ansatz_parameters_from_unitary(rotation_unitary)¶

Converts a real unitary rotation to ansatz parameters.

Performs a QR decomposition of the rotation matrix to find ansatz parameters.

Parameters:: rotation_unitary (ndarray[tuple[int, ...], dtype[float]]) – A real unitary matrix with shape (N_{so}, N_{so}) where N_{so} is the of number of spin-orbitals/qubits. Assumes the spin-orbital encoding: [0a, 0b, 1a, 1b, 2a…].
Returns:: dict[str | Symbol, Union[int, float, complex, Expr]] – The ansatz parameters.

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: DecomposeBoxes – A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: BaseRealBasisRotationAnsatz – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState()¶

Create a symbolic QubitState representation of the ansatz.

Returns:: QubitState – Ansatz as a QubitState.

unsympify(precision=15)¶

Unsympifies dictionary values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision for evaluation.
Returns:: BaseRealBasisRotationAnsatz – Updated instance of BaseRealBasisRotationAnsatz. This operation is in-place.

class RealRestrictedBasisRotationAnsatz(reference)¶

Bases: BaseRealBasisRotationAnsatz

Basis rotation ansatz that allows for restricted-spin, real unitary rotations.

Note

Supports rotations which act on both spin channels equivalently, and independently.

Note

Uses a Jordan-Wigner mapping for encoding rotations.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Initial reference state, \(\ket{\Psi}\) above.

ansatz_parameters_from_unitary(rotation_unitary)¶

Converts a real unitary rotation to ansatz parameters.

Performs a QR decomposition of the rotation matrix to find ansatz parameters.

Parameters:: rotation_unitary (ndarray[tuple[int, ...], dtype[float]]) – A real unitary matrix with shape (n_orb, n_orb) where n_orb is the of number of spatial orbitals. This rotation is applied to both spin channels.
Returns:: dict[str | Symbol, Union[int, float, complex, Expr]] – The ansatz parameters.

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: DecomposeBoxes – A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: BaseRealBasisRotationAnsatz – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState()¶

Create a symbolic QubitState representation of the ansatz.

Returns:: QubitState – Ansatz as a QubitState.

unsympify(precision=15)¶

Unsympifies dictionary values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision for evaluation.
Returns:: BaseRealBasisRotationAnsatz – Updated instance of BaseRealBasisRotationAnsatz. This operation is in-place.

class RealUnrestrictedBasisRotationAnsatz(reference)¶

Bases: BaseRealBasisRotationAnsatz

Basis rotation ansatz that allows for unrestricted-spin, real unitary rotations.

Note

Supports rotations which transform each spin channel independently.

Note

Uses a Jordan-Wigner mapping for encoding rotations.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Initial reference state, \(\ket{\Psi}\) above.

ansatz_parameters_from_unitary(rotation_unitary_a, rotation_unitary_b)¶

Converts a real unitary rotation to ansatz parameters.

Performs a QR decomposition of the rotation matrix to find ansatz parameters.

Parameters:

rotation_unitary_a (ndarray[tuple[int, ...], dtype[float]]) – A real unitary matrix with shape (n_orb, n_orb) where n_orb is the of number of spatial orbitals. This rotation is applied to the alpha spin channel.
rotation_unitary_b (ndarray[tuple[int, ...], dtype[float]]) – A real unitary matrix with shape (n_orb, n_orb) where n_orb is the of number of spatial orbitals. This rotation is applied to the beta spin channel. Must be the same shape as rotation_unitary_a.

Returns:

dict[str | Symbol, Union[int, float, complex, Expr]] – The ansatz parameters.

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: DecomposeBoxes – A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: BaseRealBasisRotationAnsatz – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState()¶

Create a symbolic QubitState representation of the ansatz.

Returns:: QubitState – Ansatz as a QubitState.

unsympify(precision=15)¶

Unsympifies dictionary values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision for evaluation.
Returns:: BaseRealBasisRotationAnsatz – Updated instance of BaseRealBasisRotationAnsatz. This operation is in-place.

generalized_basis_rotation_to_circuit(rotation_unitary)¶

Converts a real unitary basis rotation to a circuit.

Supports generalized real rotations, which may couple and mix spin channels.

Note

Uses a Jordan-Wigner mapping for encoding rotations.

Parameters:: rotation_unitary (ndarray[tuple[int, ...], dtype[float]]) – A real unitary matrix with shape (N_{so}, N_{so}) where N_{so} is the of number of spin-orbitals/qubits. Assumes the spin-orbital encoding: [0a, 0b, 1a, 1b, 2a…].
Returns:: A circuit representing the basis rotation matrix, the number of qubits equals to the number of spin-orbitals.

restricted_basis_rotation_to_circuit(rotation_unitary)¶

Converts a real unitary basis rotation to a circuit.

Rotation is applied to both alpha and beta spin channels.

Note

Uses a Jordan-Wigner mapping for encoding rotations.

Parameters:: rotation_unitary (ndarray[tuple[int, ...], dtype[float]]) – A real unitary matrix with shape (n_{orb}, n_{orb}) where n_{orb} is the of number of spatial orbitals.
Returns:: Circuit – A circuit representing the basis rotation matrix, the number of qubits equals to the number of spin-orbitals.

unrestricted_basis_rotation_to_circuit(rotation_unitary_a, rotation_unitary_b)¶

Converts a pair of real unitary basis rotations to a circuit.

Each rotation matrix corresponds to a spin channel.

Note

Uses a Jordan-Wigner mapping for encoding rotations.

Parameters:

rotation_unitary_a (ndarray[tuple[int, ...], dtype[float]]) – A real unitary matrix with shape (n_{orb}, n_{orb}) where n_{orb} is the of number of spatial orbitals. This rotation is applied to the alpha spin channel.
rotation_unitary_b (ndarray[tuple[int, ...], dtype[float]]) – A real unitary matrix with shape (n_{orb}, n_{orb}) where n_{orb} is the of number of spatial orbitals. This rotation is applied to the alpha spin channel. Must be the same shape as rotation_unitary_a.

Returns:

A circuit representing the basis rotation matrix, where the number of qubits equals the number of spin-orbitals.

rotate_ansatz_restricted(ansatz, rotation_unitary)¶

Rotate an ansatz by a real unitary basis rotation.

Rotation is applied to both alpha and beta spin channels. Uses restricted_basis_rotation_to_circuit() in combination with CircuitAnsatz and ComposedAnsatz to build a new state.

Note

Uses a Jordan-Wigner mapping for encoding rotations.

Parameters:

ansatz (GeneralAnsatz) – Input ansatz to be rotated. Must be encoded with the Jordan-Wigner mapping.
rotation_unitary (ndarray[tuple[int, ...], dtype[float]]) – A real unitary matrix with shape (n_{orb}, n_{orb}) where n_{orb} is the of number of spatial orbitals.

Returns:

A new ansatz with the rotation appended to the state preparation circuit.

Other ansatzes¶

class HamiltonianVariationalAnsatz(fermion_state, hamiltonian_operator=FermionOperator(), qubit_mapping=QubitMappingJordanWigner(), s=1, *args, **kwargs)¶

Bases: TrotterAnsatz

Hamiltonian Variational Ansatz introduced in https://arxiv.org/abs/1507.08969.

Parameters:

fermion_state (FermionState) – Spin orbital occupations. If applied to molecules, this should represent a single configuration mean field state.
hamiltonian_operator (FermionOperator, default: FermionOperator()) – The hamiltonian operator produced by driver.
qubit_mapping (QubitMapping, default: QubitMappingJordanWigner()) – How to map Fock state operators and states to qubit operators and circuits.
s (int, default: 1) – The number of terms in the multiplication; the total number of parameters will be 5*s.
*args – Additional arguments offered by parent object.
**kwargs – Additional keyword arguments offered by parent object.

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

property exponents: QubitOperatorList¶: Returns the qubit operator exponents.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property split_hamiltonian: Tuple[FermionOperator]¶

Split hamiltonian into diagonal and non-diagonal elements.

Hamiltonian is separated into three terms \(H_{diag}\), \(H_{hop}\), and \(H_{ex}\), each one a FermionOperator. These will be exponentiated to build the Hamiltonian Variational Ansatz.

Diagonal terms:
\(H_{diag} = \sum_p (e_p a^\dagger_p a_p) + \sum_{p,q}( h_{pqqp} a^\dagger_p a_p a^\dagger_q a_q )\)
in terms of FermionOperator:
\(((p,1), (p,0)) : e_p\) and \(((p,1), (q,1), (p,0), (q,0)) : h_{pqqp}\)

Hopping terms:
\(H_{hop} = \sum_{p,q} (e_{p,q} a^\dagger_p a_q) + \sum_{p,r,q} ( h_{prrp} a^\dagger_p a_q a^\dagger_r a_r )\)
in terms of FermionOperator:
\(((p,1), (q,0)) : e_p,q\) and \(((p,1), (q,1), (q,0), (r,0)) : h_{pqqp}\)

Exchange terms:
\(H_{ex} = \sum_{p,q,r,s} ( h_{pqrs} a^\dagger_p a^\dagger_r a_r a_s)\)
in terms of FermionOperator:
\((((p,1), (q,1), (r,0), (s,0)) : h_{pqrs}\)

Returns:: Diagonal, hopping, and exchange operators extracted from the Hamiltonian.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: TrotterAnsatz – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: The Ansatz state.

to_QubitState_direct(reverse=False)¶

Returns a QubitState object corresponding to the generated state.

This proceeds through direct exponentiation of individual terms and application to the reference state. The ansatz must have been constructed with a QubitState reference.

Danger

In general, this will blow up exponentially.

Parameters:: reverse (bool, default: False) – set to True to reverse the order of term application
Returns:: QubitState – The Ansatz state.

unsympify(precision=15)¶

Unsympifies coefficients of the qubit operator list and the Hamiltonian operator.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision for evaluation.
Returns:: HamiltonianVariationalAnsatz – Updated instance of HamiltonianVariationalAnsatz. This operation is in-place.

class LayeredAnsatz(rotations_def, reference, n_layers=1, inter_block_entangler=True, entangler_def=None, cap_layers=True, cap_def=None)¶

Bases: GeneralAnsatz

Parent class for ansatzes with layered replicas of a group of circuit primitives (such as HEA).

Hierarchy:

Block (CustomGateDef): Consists of a collection of parametric pytket.circuit.OpType operations added to a circuit.
Layer (CircBox): Consists of a rotation block and (possibly) an entangler block. If inter_block_entangler=True (default), rotation blocks between layers are separated by a block of two_qubit operations (entangler).

Parameters:

rotations_def (List[CustomGateDef]) – A list of circuit primitives as CustomGateDefs to be placed inside a layer.
reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – A reference state circuit or any valid initializer for reference_circuit_builder().
n_layers (int, default: 1) – Number of layers to be added to circuit.
inter_block_entangler (bool, default: True) – If True add a block of two-qubit gate primitives between rotation blocks within a layer.
entangler_def (CustomGateDef, default: None) – Definition of the two-qubit entangler primitive.
cap_layers (bool, default: True) – If True end circuit by adding one extra block of rotations.
cap_def (List[CustomGateDef], default: None) – A list of circuit primitives as CustomGateDefs for the cap.

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: LayeredAnsatz – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState()¶

Create a symbolic QubitState representation of the ansatz.

Returns:: QubitState – Ansatz as a QubitState.

unsympify(precision=15)¶

Unsympifies dictionary values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values. For LayeredAnsatz, this has no effect.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision for evaluation.
Returns:: LayeredAnsatz – Updated instance of LayeredAnsatz. This operation is in-place.

class HardwareEfficientAnsatz(rotation_operations, reference, n_layers, entangler_operation=OpType.CX)¶

Bases: LayeredAnsatz

Hardware Efficient Ansatz as defined in https://arxiv.org/abs/1704.05018.

Consists of n_layers layers of circuit primitives. Each layer consists of a rotation block and an entangler block.

Parameters:

rotation_operations (List[OpType]) – Define blocks of rotations as Ry, RxRy or RxRyRz.
reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Initial state of qubit register. A reference state circuit or any valid initializer for reference_circuit_builder().
n_layers (int) – Number of layers.
entangler_operation (OpType, default: OpType.CX) – The operation to build the entangler block. Default value is a CX gate.

circuit_resources(return_circuit=False)¶

Returns crude resource estimates for the implementation of unoptimized ansatz preparation circuit (e.g. gatecount).

Parameters:: return_circuit (bool, default: False) – If set to True, the rebased circuit will be included as an additional element of the dictionary under the key “circuit”.
Returns:: dict[str, int | Circuit] – A dictionary of resource estimates of the ansatz circuit keyed by resource label (e.g. “depth”), optionally including the rebased circuit.

clone()¶

Performs shallow copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

copy()¶

Performs deep copy of the object.

Return type:: TypeVar(SYMBOLICTYPE, bound= Symbolic)

default_pass()¶

Get the default compiler pass for the ansatz type.

Returns:: A tket pass object.

df_numeric(symbol_map=None, *, space=None, backend=None, dtype=complex, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_numeric_representation() to generate a numeric vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_numeric_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_numeric_representation().
backend (Optional[Backend], default: None) – An optional backend to use to build the representation. Passed to get_numeric_representation().
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted. Passed to get_numeric_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

df_symbolic(symbol_map=None, *, space=None, tol=ANSATZ_ABSOLUTE_TOLERANCE)¶

Returns a pandas.DataFrame representation of the ansatz state.

Uses get_symbolic_representation() to generate a symbolic vector for the ansatz state, and returns a dataframe with coefficients alongside their corresponding computational basis states.

Assumes lexicographical ordering of basis states.

Symbolic coefficients are simplified before being added to dataframe.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation. Passed to get_symbolic_representation().
space (Any, default: None) – Basis information to represent the object. Passed to get_symbolic_representation().
tol (float, default: ANSATZ_ABSOLUTE_TOLERANCE) – Absolute tolerance below which terms in the ansatz will be omitted from the dataframe. If negative, no terms are discarded.

Returns:

DataFrame – A dataframe representing the object.

free_symbols()¶

Returns the free symbols in the object.

Returns:: Set[Symbol] – Unordered set of symbols.

free_symbols_ordered()¶

Returns the free symbols in increasing lexicographic order.

Returns:: SymbolEnsemble – Ordered free symbols in object.

generate_report()¶

Returns a dict with data describing state object.

Return type:: dict

get_circuit(symbol_map=None)¶

Constructs a single state circuit.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
Returns:: Circuit – A circuit that represent the state.

get_circuit_no_ref(symbol_map=None)¶

Constructs a single state circuit without the reference state.

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol mapping for substitution.
compiler_pass – Optional compiler pass for circuit compilation.

Returns:

Circuit – A circuit that represent the referenceless state.

get_numeric_representation(symbol_map=None, *, space=None, backend=None, dtype=complex)¶

Constructs a single numeric matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.
backend (Optional[Backend], default: None) – An optional backend to use to build the representation.
dtype (Union[dtype[Any], None, type[Any], _SupportsDType[dtype[Any]], str, tuple[Any, int], tuple[Any, SupportsIndex | Sequence[SupportsIndex]], list[Any], _DTypeDict, tuple[Any, Any]], default: complex) – Specifies what dtype the return array should be converted.

Returns:

get_symbolic_representation(symbol_map=None, *, space=None)¶

Constructs a single symbolic matrix/vector representation.

Danger

This is an exponentially exploding method!

Parameters:

symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – A symbol substitution map before constructing the representation.
space (Any, default: None) – Basis information to represent the object.

Returns:

Expr – A symbolic expression as a representation, which is a symbolic NDArray.

make_hashable()¶

Returns a hashable representation of the ansatz object.

Returns:: Hashable – Hashable representation of ansatz.

property n_qubits: int¶: Returns the number of qubits.

property n_symbols: int¶: Returns the number of free symbols in the object.

reference_qubit_state()¶

Create a symbolic QubitState representation of the reference state.

Returns:: QubitState – Reference state as a QubitState.

reset_reference(reference)¶

Resetting the reference state of the ansatz in place.

Note

The number of qubits in the new reference has to match with the already existing reference state.

Parameters:: reference (Union[int, List[Qubit], List[int], QubitSpace, QubitState, Circuit]) – Any reference that can be converted into a non-symbolic reference state circuit.
Returns:: Returns self with the modified reference.

property state_circuit: Circuit¶: Returns the symbolic state circuit with a default compilation.

property state_symbols: SymbolEnsemble¶: Returns the ordered parameter symbols this state uses.

subs(symbol_map)¶

Returns a new objects with symbols substituted.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str]) – A mapping for substitution of free symbols.
Returns:: TypeVar(SYMBOLICTYPE, bound= Symbolic) – A copy of self with symbols substituted according to the provided map.

symbol_substitution(symbol_map=None)¶

Performs an in-place symbol substation in the object.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Dictionary or Callable mapping existing symbols to new symbols or values.

Note

While this is an in-place operation, consistency in free_symbols_ordered() is not guaranteed.

Returns:: LayeredAnsatz – self, with symbols substituted.

to_CircuitAnsatz(symbol_map=None)¶

Cast the ansatz as CircuitAnsatz with optional symbol substitution.

Parameters:: symbol_map (Union[Dict[Symbol, Expr], Dict[Symbol, float], Dict[Symbol, Union[float, complex, Expr]], Callable[[Symbol], Expr], str, None], default: None) – Optional symbol substitution map.
Returns:: CircuitAnsatz – A new CircuitAnsatz ansatz.

to_QubitState()¶

Create a symbolic QubitState representation of the ansatz.

Returns:: QubitState – Ansatz as a QubitState.

unsympify(precision=15)¶

Unsympifies dictionary values.

Replaces symbolic expressions that do not contain free symbols with their corresponding numeric values. For LayeredAnsatz, this has no effect.

Parameters:: precision (int, default: 15) – The number of decimal digits of precision for evaluation.
Returns:: LayeredAnsatz – Updated instance of LayeredAnsatz. This operation is in-place.