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arXiv · 2312.03333

Quantum Random Number Generation with Partial Source Assumptions

Xing Lin·Rong Wang
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Abstract

Quantum random number generator harnesses the power of quantum mechanics to generate true random numbers, making it valuable for various scientific applications. However, real-world devices often suffer from imperfections that can undermine the integrity and privacy of generated randomness. To combat this issue, we present a novel quantum random number generator and experimentally demonstrate it. Our approach circumvents the need for exhaustive characterization of measurement devices, even in the presence of a quantum side channel. Additionally, we also do not require detailed characterization of the source, relying instead on reasonable assumptions about encoding dimension and noise constraints. Leveraging commercially available all-fiber devices, we achieve a randomness generation rate of 40 kbps.

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Xing Lin, Rong Wang. 2023-12-06. Quantum Random Number Generation with Partial Source Assumptions. https://doi.org/10.1126/sciadv.aec2555

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