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Covariance-Matrix-Based Criteria for Network Entanglement

Quantum networks offer a realistic and practical scheme for generating multiparticle entanglement and implementing multiparticle quantum communication protocols. However, the correlations that can be generated in networks with quantum sources and local operations are not yet well understood. Covaria...

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Detalles Bibliográficos
Autores principales: Hansenne, Kiara, Gühne, Otfried
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528436/
https://www.ncbi.nlm.nih.gov/pubmed/37761559
http://dx.doi.org/10.3390/e25091260
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author Hansenne, Kiara
Gühne, Otfried
author_facet Hansenne, Kiara
Gühne, Otfried
author_sort Hansenne, Kiara
collection PubMed
description Quantum networks offer a realistic and practical scheme for generating multiparticle entanglement and implementing multiparticle quantum communication protocols. However, the correlations that can be generated in networks with quantum sources and local operations are not yet well understood. Covariance matrices, which are powerful tools in entanglement theory, have been also applied to the network scenario. We present simple proofs for the decomposition of such matrices into the sum of positive semi-definite block matrices and, based on that, develop analytical and computable necessary criteria for preparing states in quantum networks. These criteria can be applied to networks where nodes share at most one source, such as all bipartite networks.
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spelling pubmed-105284362023-09-28 Covariance-Matrix-Based Criteria for Network Entanglement Hansenne, Kiara Gühne, Otfried Entropy (Basel) Article Quantum networks offer a realistic and practical scheme for generating multiparticle entanglement and implementing multiparticle quantum communication protocols. However, the correlations that can be generated in networks with quantum sources and local operations are not yet well understood. Covariance matrices, which are powerful tools in entanglement theory, have been also applied to the network scenario. We present simple proofs for the decomposition of such matrices into the sum of positive semi-definite block matrices and, based on that, develop analytical and computable necessary criteria for preparing states in quantum networks. These criteria can be applied to networks where nodes share at most one source, such as all bipartite networks. MDPI 2023-08-24 /pmc/articles/PMC10528436/ /pubmed/37761559 http://dx.doi.org/10.3390/e25091260 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hansenne, Kiara
Gühne, Otfried
Covariance-Matrix-Based Criteria for Network Entanglement
title Covariance-Matrix-Based Criteria for Network Entanglement
title_full Covariance-Matrix-Based Criteria for Network Entanglement
title_fullStr Covariance-Matrix-Based Criteria for Network Entanglement
title_full_unstemmed Covariance-Matrix-Based Criteria for Network Entanglement
title_short Covariance-Matrix-Based Criteria for Network Entanglement
title_sort covariance-matrix-based criteria for network entanglement
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528436/
https://www.ncbi.nlm.nih.gov/pubmed/37761559
http://dx.doi.org/10.3390/e25091260
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