Scalable reservoir computing on coherent linear photonic processor

Optical computing holds promise for high-speed, low-energy information processing due to its large bandwidth and ability to multiplex signals. The authors propose a recurrent neural network implementation using reservoir computing architecture in an integrated photonic processor capable of performin...

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Autores principales:	Mitsumasa Nakajima, Kenji Tanaka, Toshikazu Hashimoto
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Astrophysics QB460-466 Physics QC1-999
Acceso en línea:	https://doaj.org/article/6586e4669831479db118d3aa723a6fda
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spelling	oai:doaj.org-article:6586e4669831479db118d3aa723a6fda2021-12-02T12:09:50ZScalable reservoir computing on coherent linear photonic processor10.1038/s42005-021-00519-12399-3650https://doaj.org/article/6586e4669831479db118d3aa723a6fda2021-02-01T00:00:00Zhttps://doi.org/10.1038/s42005-021-00519-1https://doaj.org/toc/2399-3650Optical computing holds promise for high-speed, low-energy information processing due to its large bandwidth and ability to multiplex signals. The authors propose a recurrent neural network implementation using reservoir computing architecture in an integrated photonic processor capable of performing ~10 tera multiplication–accumulation operations per second for each wavelength channel.Mitsumasa NakajimaKenji TanakaToshikazu HashimotoNature PortfolioarticleAstrophysicsQB460-466PhysicsQC1-999ENCommunications Physics, Vol 4, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Astrophysics QB460-466 Physics QC1-999
spellingShingle	Astrophysics QB460-466 Physics QC1-999 Mitsumasa Nakajima Kenji Tanaka Toshikazu Hashimoto Scalable reservoir computing on coherent linear photonic processor
description	Optical computing holds promise for high-speed, low-energy information processing due to its large bandwidth and ability to multiplex signals. The authors propose a recurrent neural network implementation using reservoir computing architecture in an integrated photonic processor capable of performing ~10 tera multiplication–accumulation operations per second for each wavelength channel.
format	article
author	Mitsumasa Nakajima Kenji Tanaka Toshikazu Hashimoto
author_facet	Mitsumasa Nakajima Kenji Tanaka Toshikazu Hashimoto
author_sort	Mitsumasa Nakajima
title	Scalable reservoir computing on coherent linear photonic processor
title_short	Scalable reservoir computing on coherent linear photonic processor
title_full	Scalable reservoir computing on coherent linear photonic processor
title_fullStr	Scalable reservoir computing on coherent linear photonic processor
title_full_unstemmed	Scalable reservoir computing on coherent linear photonic processor
title_sort	scalable reservoir computing on coherent linear photonic processor
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/6586e4669831479db118d3aa723a6fda
work_keys_str_mv	AT mitsumasanakajima scalablereservoircomputingoncoherentlinearphotonicprocessor AT kenjitanaka scalablereservoircomputingoncoherentlinearphotonicprocessor AT toshikazuhashimoto scalablereservoircomputingoncoherentlinearphotonicprocessor
_version_	1718394633149480960

Scalable reservoir computing on coherent linear photonic processor

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