Adaptive Binning and On-line Certification of Quantum Random Number Generators Using Bayesian Inference
Pavel Lougovski, Raphael C. Pooser · 2014
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.