4 papers
Cryptomite: A versatile and user-friendly library of randomness extractors
Cameron Foreman, Richie Yeung, Alec Edgington +1
We present Cryptomite, a Python library of randomness extractor implementations. The library offers a range of two-source, seeded and deterministic randomness extractors, together…
Certified randomness amplification by dynamically probing remote random quantum states
Minzhao Liu, Pradeep Niroula, Matthew DeCross +49
Cryptography depends on truly unpredictable numbers, but physical sources emit biased or correlated bits. Quantum mechanics enables the amplification of imperfect randomness into n…
An efficient construction of Raz's two-source randomness extractor with improved parameters
Cameron Foreman, Lewis Wooltorton, Kevin Milner +1
Randomness extractors are algorithms that distill weak random sources into near-perfect random numbers. Two-source extractors enable this distillation process by combining two inde…
Statistical testing of random number generators and their improvement using randomness extraction
Cameron Foreman, Richie Yeung, Florian J. Curchod
Random number generators (RNGs) are notoriously challenging to build and test, especially for cryptographic applications. While statistical tests cannot definitively guarantee an R…