Training tutorials

The following examples demonstrate the usage of the training package for classical and quantum training scenarios.

• Classical case

  Convert string diagrams into tensor networks and train them with PyTorch.

• Quantum case

  Create quantum circuits using the tket backend and train them with QuantumTrainer.

• Hybrid case

  See how to utilise the powerful PennyLane backend to train pure and hybrid quantum models.

• DisCoCirc training

  Convert entire paragraphs or documents into DisCoCirc circuits and train them with lambeq’s PennyLaneModel.

• Manual pipeline

  Learn how to create custom training loops for your lambeq models.

See also:

• Machine learning with lambeq