Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Adaptive Binning and On-line Certification of Quantum Random Number Generators Using Bayesian Inference

Not Accessible

Your library or personal account may give you access

Abstract

Quantum random number generator statistics fluctuates with time due to noise affecting quality of randomness. We use Bayesian inference to monitor the statistics after each measurement and bin data adaptively to mitigate effects of noise.

© 2014 Optical Society of America

PDF Article
More Like This
Quantum Random Number Generation using Spontaneous Raman Scattering

Matthew J. Collins, Alex S. Clark, Zhizhong Yan, Chunle Xiong, M. J. Steel, and Benjamin J. Eggleton
JTh2A.123 CLEO: Applications and Technology (CLEO:A&T) 2014

Ultrafast Quantum Random Number Generation Using Off-the-shelf Components

C. Abellán, W. Amaya, M. Jofre, M. Curty, A. Acín, J. Capmany, V. Pruneri, and M. W. Mitchell
AW3P.2 CLEO: Applications and Technology (CLEO:A&T) 2014

Self Correcting Quantum Random Number Generators using Tapered Amplifiers

R. C. Pooser, P. G. Evans, T. S. Humble, W. P. Grice, and B. P. Williams
W6.37 Quantum Information and Measurement (QIM) 2013

Poster Presentation

Media 1: PDF (764 KB)     
Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved