Spectral sensitivity near exceptional points as a resource for hardware encryption

Minye Yang; Liang Zhu; Qi Zhong; Ramy El-Ganainy; Pai-Yen Chen

doi:10.1038/s41467-023-36508-x

Nature Communications (Feb 2023)

Spectral sensitivity near exceptional points as a resource for hardware encryption

Minye Yang,
Liang Zhu,
Qi Zhong,
Ramy El-Ganainy,
Pai-Yen Chen

Affiliations

Minye Yang: Department of Electrical and Computer Engineering, University of Illinois Chicago
Liang Zhu: Department of Electrical and Computer Engineering, University of Illinois Chicago
Qi Zhong: Department of Physics, Michigan Technological University
Ramy El-Ganainy: Department of Physics, Michigan Technological University
Pai-Yen Chen: Department of Electrical and Computer Engineering, University of Illinois Chicago

DOI: https://doi.org/10.1038/s41467-023-36508-x
Journal volume & issue: Vol. 14, no. 1
pp. 1 – 10

Abstract

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In this work the authors demonstrate that the spectral sensitivity near exceptional points can be harnessed in electronic circuits to implement physically unclonable functions for security and communication applications.

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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