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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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Autor principal: Chou, Chung-Pin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
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
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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.
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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
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