Python library of efficient and numerically-precise randomness extractors
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Updated
Mar 31, 2026 - Python
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.
Реализация протокола квантового распределения ключей BB84 с детальным анализом ошибок (QBER) с использованием библиотеки IBM Qiskit.
Reed-Solomon (Slepian-Wolf) key reconciliation and SHA-512 / AES-256 privacy amplification for CEF secret-key generation, characterized against the Slepian-Wolf bound.
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
A full-stack simulation of the BB84 Quantum Key Distribution (QKD) protocol featuring eavesdropping detection, classical post-processing , and a live end-to-end encrypted chat powered by Qiskit, FastAPI, and client-side Web Crypto API
Python implementation of LDPC-based information reconciliation and Toeplitz-hashing privacy amplification for Quantum Key Distribution (QKD).
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