A novel true random number generator based on a stochastic diffusive memristor

Hao Jiang; Daniel Belkin; Sergey E. Savel’ev; Siyan Lin; Zhongrui Wang; Yunning Li; Saumil Joshi; Rivu Midya; Can Li; Mingyi Rao; Mark Barnell; Qing Wu; J. Joshua Yang; Qiangfei Xia

doi:10.1038/s41467-017-00869-x

Nature Communications (Oct 2017)

A novel true random number generator based on a stochastic diffusive memristor

Hao Jiang,
Daniel Belkin,
Sergey E. Savel’ev,
Siyan Lin,
Zhongrui Wang,
Yunning Li,
Saumil Joshi,
Rivu Midya,
Can Li,
Mingyi Rao,
Mark Barnell,
Qing Wu,
J. Joshua Yang,
Qiangfei Xia

Affiliations

Hao Jiang: Department of Electrical and Computer Engineering, University of Massachusetts
Daniel Belkin: Department of Electrical and Computer Engineering, University of Massachusetts
Sergey E. Savel’ev: Department of Physics, Loughborough University
Siyan Lin: Department of Electrical and Computer Engineering, University of Massachusetts
Zhongrui Wang: Department of Electrical and Computer Engineering, University of Massachusetts
Yunning Li: Department of Electrical and Computer Engineering, University of Massachusetts
Saumil Joshi: Department of Electrical and Computer Engineering, University of Massachusetts
Rivu Midya: Department of Electrical and Computer Engineering, University of Massachusetts
Can Li: Department of Electrical and Computer Engineering, University of Massachusetts
Mingyi Rao: Department of Electrical and Computer Engineering, University of Massachusetts
Mark Barnell: Air Force Research Lab, Information Directorate
Qing Wu: Air Force Research Lab, Information Directorate
J. Joshua Yang: Department of Electrical and Computer Engineering, University of Massachusetts
Qiangfei Xia: Department of Electrical and Computer Engineering, University of Massachusetts

DOI: https://doi.org/10.1038/s41467-017-00869-x
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 9

Abstract

Read online

Memristors can switch between high and low electrical-resistance states, but the switching behaviour can be unpredictable. Here, the authors harness this unpredictability to develop a memristor-based true random number generator that uses the stochastic delay time of threshold switching

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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