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Entropy Evolution in Consensus Networks

We investigate the evolution of the network entropy for consensus dynamics in classical and quantum networks. We show that in the classical case, the network differential entropy is monotonically non-increasing if the node initial values are continuous random variables. While for quantum consensus d...

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Detalles Bibliográficos
Autores principales: Fu, Shuangshuang, Shi, Guodong, Petersen, Ian R., James, Matthew R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5431515/
https://www.ncbi.nlm.nih.gov/pubmed/28484251
http://dx.doi.org/10.1038/s41598-017-01615-5
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author Fu, Shuangshuang
Shi, Guodong
Petersen, Ian R.
James, Matthew R.
author_facet Fu, Shuangshuang
Shi, Guodong
Petersen, Ian R.
James, Matthew R.
author_sort Fu, Shuangshuang
collection PubMed
description We investigate the evolution of the network entropy for consensus dynamics in classical and quantum networks. We show that in the classical case, the network differential entropy is monotonically non-increasing if the node initial values are continuous random variables. While for quantum consensus dynamics, the network’s von Neumann entropy is in contrast non-decreasing. In light of this inconsistency, we compare several distributed algorithms with random or deterministic coefficients for classical or quantum networks, and show that quantum algorithms with deterministic coefficients are physically related to classical algorithms with random coefficients.
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spelling pubmed-54315152017-05-16 Entropy Evolution in Consensus Networks Fu, Shuangshuang Shi, Guodong Petersen, Ian R. James, Matthew R. Sci Rep Article We investigate the evolution of the network entropy for consensus dynamics in classical and quantum networks. We show that in the classical case, the network differential entropy is monotonically non-increasing if the node initial values are continuous random variables. While for quantum consensus dynamics, the network’s von Neumann entropy is in contrast non-decreasing. In light of this inconsistency, we compare several distributed algorithms with random or deterministic coefficients for classical or quantum networks, and show that quantum algorithms with deterministic coefficients are physically related to classical algorithms with random coefficients. Nature Publishing Group UK 2017-05-08 /pmc/articles/PMC5431515/ /pubmed/28484251 http://dx.doi.org/10.1038/s41598-017-01615-5 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Fu, Shuangshuang
Shi, Guodong
Petersen, Ian R.
James, Matthew R.
Entropy Evolution in Consensus Networks
title Entropy Evolution in Consensus Networks
title_full Entropy Evolution in Consensus Networks
title_fullStr Entropy Evolution in Consensus Networks
title_full_unstemmed Entropy Evolution in Consensus Networks
title_short Entropy Evolution in Consensus Networks
title_sort entropy evolution in consensus networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5431515/
https://www.ncbi.nlm.nih.gov/pubmed/28484251
http://dx.doi.org/10.1038/s41598-017-01615-5
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