Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Meng, Xiangyi, Hu, Xinqi, Tian, Yu, Dong, Gaogao, Lambiotte, Renaud, Gao, Jianxi, Havlin, Shlomo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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
_version_ 1785149302005301248
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
work_keys_str_mv AT mengxiangyi percolationtheoriesforquantumnetworks
AT huxinqi percolationtheoriesforquantumnetworks
AT tianyu percolationtheoriesforquantumnetworks
AT donggaogao percolationtheoriesforquantumnetworks
AT lambiotterenaud percolationtheoriesforquantumnetworks
AT gaojianxi percolationtheoriesforquantumnetworks
AT havlinshlomo percolationtheoriesforquantumnetworks