Richie Yeung

Randomness extractors are an essential component in numerous applications, for example, for privacy amplification in quantum key distribution and randomness extraction in random number generation. Despite their importance, selecting, optimising and implementing the appropriate extractor and parameters requires significant expertise and time investment. We present Cryptomite, a publicly available software library that provides a variety of two-source, seeded, and deterministic randomness extractor implementations with state-of-the-art performance. The software is efficient, numerically precise and capable of handling input sizes up to $10^{12}$, allowing for use even in resource intensive protocols, e.g. device-independent ones. Alongside the software, we provide theoretical contributions that include improvements and generalisations to existing extractors, new extractor constructions and parameter calculation in a variety of useful security models. To showcase the library, we empirically compare the properties of the output of several random number generators and the effect of different randomness extraction methods on it, using intense statistical testing.