Simultaneous Random Number Generation and Optical Tweezers Calibration Employing a Learning Algorithm Based on the Brownian Dynamics of a Trapped Colloidal Particle

True random number generators are in high demand for secure cryptographic algorithms. Unlike algorithmically generated pseudo-random numbers they are unclonable and non-deterministic. A particle following Brownian dynamics as a result of the stochastic Ornstein-Uhlenbeck process is a source of true...

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Principais autores:	Raunak Dey, Subhrokoli Ghosh, Avijit Kundu, Ayan Banerjee
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2021-01-01
coleção:	Frontiers in Physics
Assuntos:	true random numbers supervised learning optical trap calibration autoregresison time series analysis
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fphy.2020.576948/full
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