Python library of efficient and numerically-precise randomness extractors
Quantum keys can fail quietly. Loss and noise can leave you with bits, but no secrecy. We model the cliff to expose silent breakage before it becomes a system risk.
Python implementation of LDPC-based information reconciliation and Toeplitz-hashing privacy amplification for Quantum Key Distribution (QKD).
QRnWhitened: An end-to-end pipeline bridging quantum physics and digital trust. Developed at the Deloitte Quantum Lab, this project implements a heralded SPDC Quantum Random Number Generator (QRNG) utilizing dual-entropy harvesting, TPA-LSTM adversarial min-entropy auditing, and O(N log N) FFT-Toeplitz privacy amplification
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