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ml-dsa

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Educational Python and Qiskit project on the quantum threat to RSA: a simulated Shor's algorithm, classical vs. quantum factoring cost, published RSA-2048 resource estimates, and NIST post-quantum standards (ML-KEM, ML-DSA, SLH-DSA; FIPS 203/204/205). Jupyter notebooks and figures included. Toy code, not for production.

  • Updated Nov 9, 2026
  • Jupyter Notebook
Q-Edge

Research testbed for federated learning with hybrid quantum-classical models and post-quantum protection (ML-KEM, ML-DSA, secure aggregation). Reproducible results: a 4-qubit VQC head vs a matched classical head, robust aggregation vs poisoning, PQC cost per round. PennyLane, PyTorch, Flower, FastAPI.

  • Updated Nov 6, 2026
  • Python

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