Benchmarking a Quantum Random Number Generator with Machine Learning

Date

2021

Authors

Haw, Jing Yan
Truong, Nhan Duy
Hong Jie Ng, H J
Ho, Raymond
Assad, Syed
Wang, C.M.
Lam, Ping Koy
Kavehei, Omid

Journal Title

Journal ISSN

Volume Title

Publisher

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.

Description

Keywords

Citation

Source

Quantum Information and Measurement VI 2021 - Technical Digest Series

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1364/QIM.2021.W3B.5

Restricted until

2099-12-31