Noise sensitivity of physical reservoir computing in a ring array of atomic switches

Kubota, Hiroshi; Hasegawa, Tsuyoshi; Akai-Kasaya, Megumi; Asai, Tetsuya

Noise sensitivity of physical reservoir computing in a ring array of atomic switches

Kubota, Hiroshi; Hasegawa, Tsuyoshi; Akai-Kasaya, Megumi et al.

Nonlinear theory and its applications, IEICE, 2022, 13(2), 373-378

Permalink : https://hdl.handle.net/2115/85562

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論文情報

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アクセス権	open access
URI	https://hdl.handle.net/2115/85562
タイトル	Noise sensitivity of physical reservoir computing in a ring array of atomic switches
著者	Kubota, Hiroshi ; Hasegawa, Tsuyoshi ; Akai-Kasaya, Megumi ; Asai, Tetsuya
著者名 Kubota, Hiroshi
著者名 Hasegawa, Tsuyoshi
e-Rad_Researcher 50437373 著者名 Akai-Kasaya, Megumi
e-Rad_Researcher 00312380 著者名 Asai, Tetsuya
言語	英語
キーワード	atomic switch
	neural networks
	physical reservoir computing
	delayed feedback reservoir computing
発行日	2022
出版者	IEICE - Institute of the Electronics, Information and Communication Engineers
収録物名	Nonlinear theory and its applications, IEICE
巻(号)	13(2)
ページ	373-378
抄録	Reservoir computing (RC) is possible using physical systems. We have previously proposed an RC for ideal atomic switches. When temporal current fluctuations (noise) from the measurement of actual atomic switches are introduced into the proposed RC, performance degrades significantly. To address this issue, we propose novel methods for increasing the operating current range and observing the atomic switch several times to determine the average noise. Consequently, the memory capacity of the RC model increased, despite the presence of noise. To improve the precision of RC, we investigated the capacity and showed that changing the time constant of atomic switches results in an improvement.
資源タイプ	学術雑誌論文
出版タイプ	Version of Record
権利情報	Copyright ©2022 The Institute of Electronics, Information and Communication Engineers
PISSN	2185-4106
関連情報 (isIdenticalTo)	出版社版DOI https://doi.org/10.1587/nolta.13.373