Entanglement formation in continuous-variable random quantum networks

Abstract Entanglement is not only important for understanding the fundamental properties of many-body systems, but also the crucial resource enabling quantum advantages in practical information processing tasks. Although previous works on quantum networks focus on discrete-variable systems, light—as...

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Autores principales:	Bingzhi Zhang, Quntao Zhuang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Physics QC1-999 Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/336b1b2b50e349cc846dbaf4296c5001
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id	oai:doaj.org-article:336b1b2b50e349cc846dbaf4296c5001
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spelling	oai:doaj.org-article:336b1b2b50e349cc846dbaf4296c50012021-12-02T12:11:13ZEntanglement formation in continuous-variable random quantum networks10.1038/s41534-021-00370-w2056-6387https://doaj.org/article/336b1b2b50e349cc846dbaf4296c50012021-02-01T00:00:00Zhttps://doi.org/10.1038/s41534-021-00370-whttps://doaj.org/toc/2056-6387Abstract Entanglement is not only important for understanding the fundamental properties of many-body systems, but also the crucial resource enabling quantum advantages in practical information processing tasks. Although previous works on quantum networks focus on discrete-variable systems, light—as the only traveling carrier of quantum information in a network—is bosonic and thus requires a continuous-variable description. We extend the study to continuous-variable quantum networks. By mapping the ensemble-averaged entanglement dynamics on an arbitrary network to a random-walk process on a graph, we are able to exactly solve the entanglement dynamics. We identify squeezing as the source of entanglement generation, which triggers a diffusive spread of entanglement with a "parabolic light cone”. A surprising linear superposition law in the entanglement growth is predicted by the theory and numerically verified, despite the nonlinear nature of the entanglement dynamics. The equilibrium entanglement distribution (Page curves) is exactly solved and has various shapes depending on the average squeezing density and strength.Bingzhi ZhangQuntao ZhuangNature PortfolioarticlePhysicsQC1-999Electronic computers. Computer scienceQA75.5-76.95ENnpj Quantum Information, Vol 7, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Physics QC1-999 Electronic computers. Computer science QA75.5-76.95
spellingShingle	Physics QC1-999 Electronic computers. Computer science QA75.5-76.95 Bingzhi Zhang Quntao Zhuang Entanglement formation in continuous-variable random quantum networks
description	Abstract Entanglement is not only important for understanding the fundamental properties of many-body systems, but also the crucial resource enabling quantum advantages in practical information processing tasks. Although previous works on quantum networks focus on discrete-variable systems, light—as the only traveling carrier of quantum information in a network—is bosonic and thus requires a continuous-variable description. We extend the study to continuous-variable quantum networks. By mapping the ensemble-averaged entanglement dynamics on an arbitrary network to a random-walk process on a graph, we are able to exactly solve the entanglement dynamics. We identify squeezing as the source of entanglement generation, which triggers a diffusive spread of entanglement with a "parabolic light cone”. A surprising linear superposition law in the entanglement growth is predicted by the theory and numerically verified, despite the nonlinear nature of the entanglement dynamics. The equilibrium entanglement distribution (Page curves) is exactly solved and has various shapes depending on the average squeezing density and strength.
format	article
author	Bingzhi Zhang Quntao Zhuang
author_facet	Bingzhi Zhang Quntao Zhuang
author_sort	Bingzhi Zhang
title	Entanglement formation in continuous-variable random quantum networks
title_short	Entanglement formation in continuous-variable random quantum networks
title_full	Entanglement formation in continuous-variable random quantum networks
title_fullStr	Entanglement formation in continuous-variable random quantum networks
title_full_unstemmed	Entanglement formation in continuous-variable random quantum networks
title_sort	entanglement formation in continuous-variable random quantum networks
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/336b1b2b50e349cc846dbaf4296c5001
work_keys_str_mv	AT bingzhizhang entanglementformationincontinuousvariablerandomquantumnetworks AT quntaozhuang entanglementformationincontinuousvariablerandomquantumnetworks
_version_	1718394620391456768

Entanglement formation in continuous-variable random quantum networks

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