Why Quantum Origin?

Cryptographic systems require strong randomness. Every encryption key, digital signature, and secure handshake depends on unpredictable numbers. The cryptographic algorithms themselves are deterministic—meaning they generate the same output for the same input. It’s the quality of randomness that foundationally secures cryptographic systems. When randomness is weak, biased, repeatable, or compromised, the entire cryptographic stack becomes vulnerable.

Unfortunately, this kind of weakness is both silent and devastating. Real-world attacks like Randstorm, Polynonce, and the long-undetected ROCA flaw have shown how flawed or misconfigured randomness sources can remain hidden for years, quietly exposing private keys and sensitive data. These vulnerabilities are rarely caused by broken ciphers, but by weak randomness that is assumed to be strong.

The Limits of Classical and Conventional Quantum RNGs

Many systems today rely on classical entropy sources—such as CPU jitter, keyboard timing, or thermal noise—to generate random numbers. These are often used to initialize deterministic algorithms like pseudo-random number generators (PRNGs), which stretch a small input into a longer stream of output. While this approach is efficient, it offers no guarantee that the randomness is truly unpredictable.

Even hardware random number generators—from true random number generators (TRNGs) to current-generation quantum random number generators (QRNGs) suffer from critical limitations:

  • They cannot prove the quality of their output. Most RNGs rely on statistical tests, which are incapable of verifying true unpredictability. Passing Diehard, ENT, or even NIST SP 800-90B tests only shows that the data looks random—not that it is.

  • They can be influenced by environmental or side-channel effects. Malfunctions, signal interference, or deliberate tampering can reduce entropy without detection.

  • They often require specialized hardware. This limits scalability and complicates integration into cloud-native or disconnected environments.

Why Quantum Origin Is Different

Quantum Origin eliminates these risks by replacing assumption with a peer-reviewed mathematical process.

It is the only software-deployed quantum random number generator (QRNG) that delivers mathematically proven randomness, validated through:

  • Bell tests, which verify that the entropy originates from genuine quantum phenomena, and

  • Strong-seeded extractors, which convert weak local randomness into near-perfect randomness using a Quantum Seed.

This approach gives Quantum Origin a unique ability: it doesn’t just produce randomness—it proves it. That proof is expressed as a bounded min-entropy value, calculated with a known security margin. It’s not a statistical guess; it’s a cryptographic guarantee.

Quantum Origin has also achieved entropy validation under NIST SP 800-90B, a requirement for deployment in many regulated industries. Unlike conventional QRNGs, it does all of this entirely in software—with no new hardware, no network dependencies, and, in most cases, no changes to existing cryptographic applications.

Built for Modern and Future Threats

Quantum Origin is designed for a threat model that includes unbounded adversaries—attackers with access to cloud-scale infrastructure, machine learning inference, or future quantum computers. By delivering quantum-enhanced randomness to existing systems, Quantum Origin helps organizations:

  • Protect encryption keys from entropy-related weaknesses

  • Strengthen post-quantum cryptography (PQC) through stronger key generation

  • Reduce the attack surface in zero trust and distributed architectures

  • Comply with rigorous standards like FIPS 140-3 and NIST SP 800-90B

Summary

Randomness failures are not theoretical—they are a proven class of exploit. Quantum Origin offers a practical, proven, and scalable way to eliminate this risk at its root.

Proven randomness, delivered via software.