Benchmarking a Quantum Random Number Generator with Machine Learning
Date
Authors
Haw, Jing Yan
Truong, Nhan Duy
Hong Jie Ng, H J
Ho, Raymond
Assad, Syed
Wang, C.M.
Lam, Ping Koy
Kavehei, Omid
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Volume Title
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Optical Society of America (OSA)
Abstract
We develop a predictive machine learning (ML) analysis to examine the uniformity and unpredictability aspects of a random number generator. We show that our tool is capable of uncovering hidden correlations and experimental imperfections.
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Quantum Information and Measurement VI 2021 - Technical Digest Series
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Restricted until
2099-12-31
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