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Percolation Theories for Quantum Networks
Quantum networks have experienced rapid advancements in both theoretical and experimental domains over the last decade, making it increasingly important to understand their large-scale features from the viewpoint of statistical physics. This review paper discusses a fundamental question: how can ent...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670322/ https://www.ncbi.nlm.nih.gov/pubmed/37998256 http://dx.doi.org/10.3390/e25111564 |
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author | Meng, Xiangyi Hu, Xinqi Tian, Yu Dong, Gaogao Lambiotte, Renaud Gao, Jianxi Havlin, Shlomo |
author_facet | Meng, Xiangyi Hu, Xinqi Tian, Yu Dong, Gaogao Lambiotte, Renaud Gao, Jianxi Havlin, Shlomo |
author_sort | Meng, Xiangyi |
collection | PubMed |
description | Quantum networks have experienced rapid advancements in both theoretical and experimental domains over the last decade, making it increasingly important to understand their large-scale features from the viewpoint of statistical physics. This review paper discusses a fundamental question: how can entanglement be effectively and indirectly (e.g., through intermediate nodes) distributed between distant nodes in an imperfect quantum network, where the connections are only partially entangled and subject to quantum noise? We survey recent studies addressing this issue by drawing exact or approximate mappings to percolation theory, a branch of statistical physics centered on network connectivity. Notably, we show that the classical percolation frameworks do not uniquely define the network’s indirect connectivity. This realization leads to the emergence of an alternative theory called “concurrence percolation”, which uncovers a previously unrecognized quantum advantage that emerges at large scales, suggesting that quantum networks are more resilient than initially assumed within classical percolation contexts, offering refreshing insights into future quantum network design. |
format | Online Article Text |
id | pubmed-10670322 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106703222023-11-20 Percolation Theories for Quantum Networks Meng, Xiangyi Hu, Xinqi Tian, Yu Dong, Gaogao Lambiotte, Renaud Gao, Jianxi Havlin, Shlomo Entropy (Basel) Review Quantum networks have experienced rapid advancements in both theoretical and experimental domains over the last decade, making it increasingly important to understand their large-scale features from the viewpoint of statistical physics. This review paper discusses a fundamental question: how can entanglement be effectively and indirectly (e.g., through intermediate nodes) distributed between distant nodes in an imperfect quantum network, where the connections are only partially entangled and subject to quantum noise? We survey recent studies addressing this issue by drawing exact or approximate mappings to percolation theory, a branch of statistical physics centered on network connectivity. Notably, we show that the classical percolation frameworks do not uniquely define the network’s indirect connectivity. This realization leads to the emergence of an alternative theory called “concurrence percolation”, which uncovers a previously unrecognized quantum advantage that emerges at large scales, suggesting that quantum networks are more resilient than initially assumed within classical percolation contexts, offering refreshing insights into future quantum network design. MDPI 2023-11-20 /pmc/articles/PMC10670322/ /pubmed/37998256 http://dx.doi.org/10.3390/e25111564 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 | Review Meng, Xiangyi Hu, Xinqi Tian, Yu Dong, Gaogao Lambiotte, Renaud Gao, Jianxi Havlin, Shlomo Percolation Theories for Quantum Networks |
title | Percolation Theories for Quantum Networks |
title_full | Percolation Theories for Quantum Networks |
title_fullStr | Percolation Theories for Quantum Networks |
title_full_unstemmed | Percolation Theories for Quantum Networks |
title_short | Percolation Theories for Quantum Networks |
title_sort | percolation theories for quantum networks |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670322/ https://www.ncbi.nlm.nih.gov/pubmed/37998256 http://dx.doi.org/10.3390/e25111564 |
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