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Python library of efficient and numerically-precise randomness extractors

Home Page: https://cqcl.github.io/cryptomite/

License: Other

CMake 1.83% Python 35.87% C++ 62.29%
cryptography quantum-cryptography quantum-key-distribution quantum-random-number-generator random-number-generators toeplitz-hash privacy-amplification randomness-extraction cryptographic-algorithms

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cryptomite's Issues

Incorrect Implementation of Von Neumann Extractor

It appears that the current implementation of the Von Neumann extractor is incorrect. According to the correct method for Von Neumann extractor, the following should occur:

  • For each pair of bits, if the pair is 01, append 0.
  • If the pair is 10, append 1.
  • Pairs 00 and 11 are discarded.

The current implementation does the inverse.

cc: @Belaloui @idriss-hamadi

GPU `Trevisan`

By rewriting the Trevisan extractor in JAX, we can run the extractor on the GPU.

`bits` class

Right now the extractors inputs and outputs python list of booleans. This is 1) not the most compact 2) not the most readable. We can create a new class behaves like it has type List[bool], but stores the bits compactly as bytes, and exports to different formats.

Then we adapt the extractors to output bits in this format.

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