cqt_rng is an open-source package designed to generate random numbers using quantum entropy sources. This library leverages the principles of quantum mechanics to generate truly random numbers, which are fundamental to many areas of science and technology, including cryptography, simulation, and modeling.
You can install cqt_rng from pip using
pip install --upgrade cqt_rngTo start generating random numbers, you need to pick an entropy source and a post-processor. There are 3 simulated quantum entropy sources:
BosonSamplerUniversalQCSamplerShiSFSampler
And 2 real quantum entropy sources:
BorealisSamplerIBMQSampler
We also implemented three postprocessors:
VonNeumannPPCQTPPNoPostProcess
Once you have chosen you entropy source and post-processor, you just need 2 lines of code (without counting the imports 😅) to generate random numbers:
from cqt_rng import RNG
from cqt_rng.post_processors import VonNeumannPP
from cqt_rng.entropy_sources import BosonSampler
rng = RNG(BosonSampler(), VonNeumannPP())
rng.generate(length = 1024)You can also use your custom entropy sources by implementing them as subclasses of the abstract class EntropySource, and also implement your own postprocessors as subclasses of the abstract class PostProcessor.
For more example, please refer to the documentation.
Copyright © 2022-2023, Constantine Quantum Technologies. Released under the Apache License 2.0.