Gaussian states of continuous-variable quantum systems provide universal and versatile reservoir computing

Most attempts to delineate quantum machine-learning-related computing capabilities of continuous variables states have relied on non-Gaussian resources. Here, the authors show that linear systems with continuous-variable Gaussian states are a promising platform for the implementation of quantum rese...

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Autores principales:	Johannes Nokkala, Rodrigo Martínez-Peña, Gian Luca Giorgi, Valentina Parigi, Miguel C. Soriano, Roberta Zambrini
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Astrophysics QB460-466 Physics QC1-999
Acceso en línea:	https://doaj.org/article/6d99dbbbdff343148f879fffd11fbb76
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spelling	oai:doaj.org-article:6d99dbbbdff343148f879fffd11fbb762021-12-02T16:35:54ZGaussian states of continuous-variable quantum systems provide universal and versatile reservoir computing10.1038/s42005-021-00556-w2399-3650https://doaj.org/article/6d99dbbbdff343148f879fffd11fbb762021-03-01T00:00:00Zhttps://doi.org/10.1038/s42005-021-00556-whttps://doaj.org/toc/2399-3650Most attempts to delineate quantum machine-learning-related computing capabilities of continuous variables states have relied on non-Gaussian resources. Here, the authors show that linear systems with continuous-variable Gaussian states are a promising platform for the implementation of quantum reservoir computers with universal approximation capabilitiesJohannes NokkalaRodrigo Martínez-PeñaGian Luca GiorgiValentina ParigiMiguel C. SorianoRoberta ZambriniNature PortfolioarticleAstrophysicsQB460-466PhysicsQC1-999ENCommunications Physics, Vol 4, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Astrophysics QB460-466 Physics QC1-999
spellingShingle	Astrophysics QB460-466 Physics QC1-999 Johannes Nokkala Rodrigo Martínez-Peña Gian Luca Giorgi Valentina Parigi Miguel C. Soriano Roberta Zambrini Gaussian states of continuous-variable quantum systems provide universal and versatile reservoir computing
description	Most attempts to delineate quantum machine-learning-related computing capabilities of continuous variables states have relied on non-Gaussian resources. Here, the authors show that linear systems with continuous-variable Gaussian states are a promising platform for the implementation of quantum reservoir computers with universal approximation capabilities
format	article
author	Johannes Nokkala Rodrigo Martínez-Peña Gian Luca Giorgi Valentina Parigi Miguel C. Soriano Roberta Zambrini
author_facet	Johannes Nokkala Rodrigo Martínez-Peña Gian Luca Giorgi Valentina Parigi Miguel C. Soriano Roberta Zambrini
author_sort	Johannes Nokkala
title	Gaussian states of continuous-variable quantum systems provide universal and versatile reservoir computing
title_short	Gaussian states of continuous-variable quantum systems provide universal and versatile reservoir computing
title_full	Gaussian states of continuous-variable quantum systems provide universal and versatile reservoir computing
title_fullStr	Gaussian states of continuous-variable quantum systems provide universal and versatile reservoir computing
title_full_unstemmed	Gaussian states of continuous-variable quantum systems provide universal and versatile reservoir computing
title_sort	gaussian states of continuous-variable quantum systems provide universal and versatile reservoir computing
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/6d99dbbbdff343148f879fffd11fbb76
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Gaussian states of continuous-variable quantum systems provide universal and versatile reservoir computing

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