Quantum Machine Learning Assesses Post-Quantum Protocol Resilience

Institute of Theoretical and Applied Informatics, Polish Academy of Sciences is applying quantum machine learning in a new way: not creating new cryptography, but proactively testing the defenses of existing protocols. The work details the successful demonstration of loading the probability distribution of hash-based digital signatures into quantum computer memory using Quantum Generative Adversarial Networks, or QGANs. This represents a concrete step toward utilizing quantum computing to actively attack these signatures, even with the limitations of near-term hybrid quantum-classical methods. The team views this approach as a first step in the workflow for utilizing quantum computing to attack post-quantum cryptographic primitives, moving beyond simply designing algorithms resistant to…