Title :
Adaptive binning and on-line certification of quantum random number generators using Bayesian inference
Author :
Lougovski, P. ; Pooser, R.
Author_Institution :
Quantum Inf. Sci. Group, Oak Ridge Nat. Lab., Oak Ridge, TN, USA
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.
Keywords :
Bayes methods; fluctuations; noise; quantum theory; random processes; Bayesian inference; adaptive binning; noise quality; on-line certification; quantum random number generators; statistical fluctuation; Bayes methods; Generators; Noise; Noise measurement; Q measurement; Random variables; Time measurement;
Conference_Titel :
Lasers and Electro-Optics (CLEO), 2014 Conference on
Conference_Location :
San Jose, CA
