Improved Separability Criteria Based on Bloch Representation of Density Matrices

The correlation matrices or tensors in the Bloch representation of density matrices are encoded with entanglement properties. In this paper, based on the Bloch representation of density matrices, we give some new separability criteria for bipartite and multipartite quantum states. Theoretical analys...

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Autores principales: Shen, Shu-Qian, Yu, Juan, Li, Ming, Fei, Shao-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4924101/
https://www.ncbi.nlm.nih.gov/pubmed/27350031
http://dx.doi.org/10.1038/srep28850
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author Shen, Shu-Qian
Yu, Juan
Li, Ming
Fei, Shao-Ming
author_facet Shen, Shu-Qian
Yu, Juan
Li, Ming
Fei, Shao-Ming
author_sort Shen, Shu-Qian
collection PubMed
description The correlation matrices or tensors in the Bloch representation of density matrices are encoded with entanglement properties. In this paper, based on the Bloch representation of density matrices, we give some new separability criteria for bipartite and multipartite quantum states. Theoretical analysis and some examples show that the proposed criteria can be more efficient than the previous related criteria.
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spelling pubmed-49241012016-06-29 Improved Separability Criteria Based on Bloch Representation of Density Matrices Shen, Shu-Qian Yu, Juan Li, Ming Fei, Shao-Ming Sci Rep Article The correlation matrices or tensors in the Bloch representation of density matrices are encoded with entanglement properties. In this paper, based on the Bloch representation of density matrices, we give some new separability criteria for bipartite and multipartite quantum states. Theoretical analysis and some examples show that the proposed criteria can be more efficient than the previous related criteria. Nature Publishing Group 2016-06-28 /pmc/articles/PMC4924101/ /pubmed/27350031 http://dx.doi.org/10.1038/srep28850 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Shen, Shu-Qian
Yu, Juan
Li, Ming
Fei, Shao-Ming
Improved Separability Criteria Based on Bloch Representation of Density Matrices
title Improved Separability Criteria Based on Bloch Representation of Density Matrices
title_full Improved Separability Criteria Based on Bloch Representation of Density Matrices
title_fullStr Improved Separability Criteria Based on Bloch Representation of Density Matrices
title_full_unstemmed Improved Separability Criteria Based on Bloch Representation of Density Matrices
title_short Improved Separability Criteria Based on Bloch Representation of Density Matrices
title_sort improved separability criteria based on bloch representation of density matrices
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4924101/
https://www.ncbi.nlm.nih.gov/pubmed/27350031
http://dx.doi.org/10.1038/srep28850
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AT feishaoming improvedseparabilitycriteriabasedonblochrepresentationofdensitymatrices

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