@inproceedings{0d4d8ab7532648d58c8594ef4de6c139,
title = "Benchmarking a Quantum Random Number Generator with Machine Learning",
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.",
author = "Haw, {Jing Yan} and Truong, {Nhan Duy} and Ng, {Hong Jie} and Raymond Ho and Syed Assad and Chao Wang and Lam, {Ping Koy} and Omid Kavehei",
note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2021, {\textcopyright} 2021 The Author(s); Conference on Quantum Information and Measurement, ICQI 2021 ; Conference date: 01-11-2021 Through 05-11-2021",
year = "2021",
language = "English",
series = "Optics InfoBase Conference Papers",
publisher = "Optica Publishing Group",
booktitle = "Quantum Information and Measurement, ICQI 2021",
address = "United States",
}