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Entanglement criterion independent on observables for multipartite Gaussian states based on uncertainty principle

Quantum entanglement is one of important resources for quantum communication. Entanglement criteria help us detect entangled states. One of important criteria is the local uncertainty relation (LUR) entanglement criteria, which is studied extensively. However, all existent LUR criteria are dependent...

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Detalles Bibliográficos
Autores principales: He, Kan, Huang, Miaomiao, Hou, Jinchuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6362042/
https://www.ncbi.nlm.nih.gov/pubmed/30718588
http://dx.doi.org/10.1038/s41598-018-36307-1
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author He, Kan
Huang, Miaomiao
Hou, Jinchuan
author_facet He, Kan
Huang, Miaomiao
Hou, Jinchuan
author_sort He, Kan
collection PubMed
description Quantum entanglement is one of important resources for quantum communication. Entanglement criteria help us detect entangled states. One of important criteria is the local uncertainty relation (LUR) entanglement criteria, which is studied extensively. However, all existent LUR criteria are dependent on the chosen observables. In the paper, applying the uncertainty principle, we improve the LUR criteria to obtain entanglement criteria for multipartite Gaussian states, which are independent on observalbes.
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spelling pubmed-63620422019-02-06 Entanglement criterion independent on observables for multipartite Gaussian states based on uncertainty principle He, Kan Huang, Miaomiao Hou, Jinchuan Sci Rep Article Quantum entanglement is one of important resources for quantum communication. Entanglement criteria help us detect entangled states. One of important criteria is the local uncertainty relation (LUR) entanglement criteria, which is studied extensively. However, all existent LUR criteria are dependent on the chosen observables. In the paper, applying the uncertainty principle, we improve the LUR criteria to obtain entanglement criteria for multipartite Gaussian states, which are independent on observalbes. Nature Publishing Group UK 2019-02-04 /pmc/articles/PMC6362042/ /pubmed/30718588 http://dx.doi.org/10.1038/s41598-018-36307-1 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
He, Kan
Huang, Miaomiao
Hou, Jinchuan
Entanglement criterion independent on observables for multipartite Gaussian states based on uncertainty principle
title Entanglement criterion independent on observables for multipartite Gaussian states based on uncertainty principle
title_full Entanglement criterion independent on observables for multipartite Gaussian states based on uncertainty principle
title_fullStr Entanglement criterion independent on observables for multipartite Gaussian states based on uncertainty principle
title_full_unstemmed Entanglement criterion independent on observables for multipartite Gaussian states based on uncertainty principle
title_short Entanglement criterion independent on observables for multipartite Gaussian states based on uncertainty principle
title_sort entanglement criterion independent on observables for multipartite gaussian states based on uncertainty principle
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6362042/
https://www.ncbi.nlm.nih.gov/pubmed/30718588
http://dx.doi.org/10.1038/s41598-018-36307-1
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