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Network Robustness: Detecting Topological Quantum Phases
Can the topology of a network that consists of many particles interacting with each other change in complexity when a phase transition occurs? The answer to this question is particularly interesting to understand the nature of the phase transitions if the distinct phases do not break any symmetry, s...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4268653/ https://www.ncbi.nlm.nih.gov/pubmed/25516369 http://dx.doi.org/10.1038/srep07526 |
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author | Chou, Chung-Pin |
author_facet | Chou, Chung-Pin |
author_sort | Chou, Chung-Pin |
collection | PubMed |
description | Can the topology of a network that consists of many particles interacting with each other change in complexity when a phase transition occurs? The answer to this question is particularly interesting to understand the nature of the phase transitions if the distinct phases do not break any symmetry, such as topological phase transitions. Here we present a novel theoretical framework established by complex network analysis for demonstrating that across a transition point of the topological superconductors, the network space experiences a homogeneous-heterogeneous transition invisible in real space. This transition is nothing but related to the robustness of a network to random failures. We suggest that the idea of the network robustness can be applied to characterizing various phase transitions whether or not the symmetry is broken. |
format | Online Article Text |
id | pubmed-4268653 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-42686532014-12-18 Network Robustness: Detecting Topological Quantum Phases Chou, Chung-Pin Sci Rep Article Can the topology of a network that consists of many particles interacting with each other change in complexity when a phase transition occurs? The answer to this question is particularly interesting to understand the nature of the phase transitions if the distinct phases do not break any symmetry, such as topological phase transitions. Here we present a novel theoretical framework established by complex network analysis for demonstrating that across a transition point of the topological superconductors, the network space experiences a homogeneous-heterogeneous transition invisible in real space. This transition is nothing but related to the robustness of a network to random failures. We suggest that the idea of the network robustness can be applied to characterizing various phase transitions whether or not the symmetry is broken. Nature Publishing Group 2014-12-17 /pmc/articles/PMC4268653/ /pubmed/25516369 http://dx.doi.org/10.1038/srep07526 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 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 in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Article Chou, Chung-Pin Network Robustness: Detecting Topological Quantum Phases |
title | Network Robustness: Detecting Topological Quantum Phases |
title_full | Network Robustness: Detecting Topological Quantum Phases |
title_fullStr | Network Robustness: Detecting Topological Quantum Phases |
title_full_unstemmed | Network Robustness: Detecting Topological Quantum Phases |
title_short | Network Robustness: Detecting Topological Quantum Phases |
title_sort | network robustness: detecting topological quantum phases |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4268653/ https://www.ncbi.nlm.nih.gov/pubmed/25516369 http://dx.doi.org/10.1038/srep07526 |
work_keys_str_mv | AT chouchungpin networkrobustnessdetectingtopologicalquantumphases |