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Dynamics of Quantum Networks in Noisy Environments
Noise exists inherently in realistic quantum systems and affects the evolution of quantum systems. We investigate the dynamics of quantum networks in noisy environments by using the fidelity of the quantum evolved states and the classical percolation theory. We propose an analytical framework that a...
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/PMC9858458/ https://www.ncbi.nlm.nih.gov/pubmed/36673296 http://dx.doi.org/10.3390/e25010157 |
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author | Zhang, Chang-Yue Zheng, Zhu-Jun Fei, Shao-Ming Feng, Mang |
author_facet | Zhang, Chang-Yue Zheng, Zhu-Jun Fei, Shao-Ming Feng, Mang |
author_sort | Zhang, Chang-Yue |
collection | PubMed |
description | Noise exists inherently in realistic quantum systems and affects the evolution of quantum systems. We investigate the dynamics of quantum networks in noisy environments by using the fidelity of the quantum evolved states and the classical percolation theory. We propose an analytical framework that allows us to characterize the stability of quantum networks in terms of quantum noises and network topologies. The calculation results of the framework determine the maximal time that quantum networks with different network topologies can maintain the ability to communicate under noise. We demonstrate the results of the framework through examples of specific graphs under amplitude damping and phase damping noises. We further consider the capacity of the quantum network in a noisy environment according to the proposed framework. The analytical framework helps us better understand the evolution time of a quantum network and provides a reference for designing large quantum networks. |
format | Online Article Text |
id | pubmed-9858458 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98584582023-01-21 Dynamics of Quantum Networks in Noisy Environments Zhang, Chang-Yue Zheng, Zhu-Jun Fei, Shao-Ming Feng, Mang Entropy (Basel) Article Noise exists inherently in realistic quantum systems and affects the evolution of quantum systems. We investigate the dynamics of quantum networks in noisy environments by using the fidelity of the quantum evolved states and the classical percolation theory. We propose an analytical framework that allows us to characterize the stability of quantum networks in terms of quantum noises and network topologies. The calculation results of the framework determine the maximal time that quantum networks with different network topologies can maintain the ability to communicate under noise. We demonstrate the results of the framework through examples of specific graphs under amplitude damping and phase damping noises. We further consider the capacity of the quantum network in a noisy environment according to the proposed framework. The analytical framework helps us better understand the evolution time of a quantum network and provides a reference for designing large quantum networks. MDPI 2023-01-12 /pmc/articles/PMC9858458/ /pubmed/36673296 http://dx.doi.org/10.3390/e25010157 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 | Article Zhang, Chang-Yue Zheng, Zhu-Jun Fei, Shao-Ming Feng, Mang Dynamics of Quantum Networks in Noisy Environments |
title | Dynamics of Quantum Networks in Noisy Environments |
title_full | Dynamics of Quantum Networks in Noisy Environments |
title_fullStr | Dynamics of Quantum Networks in Noisy Environments |
title_full_unstemmed | Dynamics of Quantum Networks in Noisy Environments |
title_short | Dynamics of Quantum Networks in Noisy Environments |
title_sort | dynamics of quantum networks in noisy environments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858458/ https://www.ncbi.nlm.nih.gov/pubmed/36673296 http://dx.doi.org/10.3390/e25010157 |
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