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The Tightness of Multipartite Coherence from Spectrum Estimation

Detecting multipartite quantum coherence usually requires quantum state reconstruction, which is quite inefficient for large-scale quantum systems. Along this line of research, several efficient procedures have been proposed to detect multipartite quantum coherence without quantum state reconstructi...

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Autores principales: Ding, Qi-Ming, Fang, Xiao-Xu, Lu, He
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621860/
https://www.ncbi.nlm.nih.gov/pubmed/34828217
http://dx.doi.org/10.3390/e23111519
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author Ding, Qi-Ming
Fang, Xiao-Xu
Lu, He
author_facet Ding, Qi-Ming
Fang, Xiao-Xu
Lu, He
author_sort Ding, Qi-Ming
collection PubMed
description Detecting multipartite quantum coherence usually requires quantum state reconstruction, which is quite inefficient for large-scale quantum systems. Along this line of research, several efficient procedures have been proposed to detect multipartite quantum coherence without quantum state reconstruction, among which the spectrum-estimation-based method is suitable for various coherence measures. Here, we first generalize the spectrum-estimation-based method for the geometric measure of coherence. Then, we investigate the tightness of the estimated lower bound of various coherence measures, including the geometric measure of coherence, the [Formula: see text]-norm of coherence, the robustness of coherence, and some convex roof quantifiers of coherence multiqubit GHZ states and linear cluster states. Finally, we demonstrate the spectrum-estimation-based method as well as the other two efficient methods. We observe that the spectrum-estimation-based method outperforms other methods in various coherence measures, which significantly enhances the accuracy of estimation.
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spelling pubmed-86218602021-11-27 The Tightness of Multipartite Coherence from Spectrum Estimation Ding, Qi-Ming Fang, Xiao-Xu Lu, He Entropy (Basel) Article Detecting multipartite quantum coherence usually requires quantum state reconstruction, which is quite inefficient for large-scale quantum systems. Along this line of research, several efficient procedures have been proposed to detect multipartite quantum coherence without quantum state reconstruction, among which the spectrum-estimation-based method is suitable for various coherence measures. Here, we first generalize the spectrum-estimation-based method for the geometric measure of coherence. Then, we investigate the tightness of the estimated lower bound of various coherence measures, including the geometric measure of coherence, the [Formula: see text]-norm of coherence, the robustness of coherence, and some convex roof quantifiers of coherence multiqubit GHZ states and linear cluster states. Finally, we demonstrate the spectrum-estimation-based method as well as the other two efficient methods. We observe that the spectrum-estimation-based method outperforms other methods in various coherence measures, which significantly enhances the accuracy of estimation. MDPI 2021-11-15 /pmc/articles/PMC8621860/ /pubmed/34828217 http://dx.doi.org/10.3390/e23111519 Text en © 2021 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
Ding, Qi-Ming
Fang, Xiao-Xu
Lu, He
The Tightness of Multipartite Coherence from Spectrum Estimation
title The Tightness of Multipartite Coherence from Spectrum Estimation
title_full The Tightness of Multipartite Coherence from Spectrum Estimation
title_fullStr The Tightness of Multipartite Coherence from Spectrum Estimation
title_full_unstemmed The Tightness of Multipartite Coherence from Spectrum Estimation
title_short The Tightness of Multipartite Coherence from Spectrum Estimation
title_sort tightness of multipartite coherence from spectrum estimation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621860/
https://www.ncbi.nlm.nih.gov/pubmed/34828217
http://dx.doi.org/10.3390/e23111519
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