Digital Coherent-State QRNG Using System-Jitter Entropy via Random Permutation
Randy Kuang

TL;DR
This paper introduces a fully digital method to emulate quantum random number generation by leveraging system jitter and permutation techniques, achieving high entropy and security without quantum hardware.
Contribution
It demonstrates a novel classical computational framework that replicates quantum optical statistics and security features of coherent-state QRNGs using system jitter and random permutations.
Findings
Achieves near-perfect Shannon entropy of 7.999998 bits/byte.
Min-entropy exceeds 7.99 bits/byte, surpassing theoretical bounds.
Resists side-channel attacks through adaptive permutation and timing distributions.
Abstract
We present a fully digital framework that replicates the statistical behavior of coherent-state quantum random number generation (QRNG) by harnessing system timing jitter through random permutation processes. Our approach transforms computational timing variations from hardware and operating system sources into permutation dynamics that generate Poisson-distributed numbers, accurately reproducing the photon statistics of optical coherent states. The theoretical foundation is established by the Uniform Convergence Theorem, which provides exponential convergence to uniformity under modular projection with rigorous error bounds. Extensive experimental validation across multiple parameter regimes and sample sizes up to bytes demonstrates exceptional performance: Shannon entropy approaching 7.999998 bits/byte and min-entropy exceeding 7.99 bits/byte, outperforming theoretical bounds…
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Taxonomy
TopicsChaos-based Image/Signal Encryption · Quantum Information and Cryptography · Optical Network Technologies
