Measurement-Based Quantum Correlations for Quantum Information Processing

Measurement-based quantum correlations (MbQCs) depend on how strongly an observer perturbs the unobserved system. This distinctive property differentiates MbQCs from traditional quantum correlations such as entanglement and discord. We utilize MbQCs to elucidate quantum information processing capabi...

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Detalles Bibliográficos
Autores principales: Khalid, Uman, ur Rehman, Junaid, Shin, Hyundong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7015916/
https://www.ncbi.nlm.nih.gov/pubmed/32051448
http://dx.doi.org/10.1038/s41598-020-59220-y
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author Khalid, Uman
ur Rehman, Junaid
Shin, Hyundong
author_facet Khalid, Uman
ur Rehman, Junaid
Shin, Hyundong
author_sort Khalid, Uman
collection PubMed
description Measurement-based quantum correlations (MbQCs) depend on how strongly an observer perturbs the unobserved system. This distinctive property differentiates MbQCs from traditional quantum correlations such as entanglement and discord. We utilize MbQCs to elucidate quantum information processing capabilities in quantum computation and quantum state discrimination. We show that MbQCs exist more generally than entanglement and discord in optimal assisted quantum state discrimination and in a deterministic quantum computation with a single qubit. We also propose an MbQC-based dimension witness and analyze it in different noisy and noiseless scenarios.
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spelling pubmed-70159162020-02-21 Measurement-Based Quantum Correlations for Quantum Information Processing Khalid, Uman ur Rehman, Junaid Shin, Hyundong Sci Rep Article Measurement-based quantum correlations (MbQCs) depend on how strongly an observer perturbs the unobserved system. This distinctive property differentiates MbQCs from traditional quantum correlations such as entanglement and discord. We utilize MbQCs to elucidate quantum information processing capabilities in quantum computation and quantum state discrimination. We show that MbQCs exist more generally than entanglement and discord in optimal assisted quantum state discrimination and in a deterministic quantum computation with a single qubit. We also propose an MbQC-based dimension witness and analyze it in different noisy and noiseless scenarios. Nature Publishing Group UK 2020-02-12 /pmc/articles/PMC7015916/ /pubmed/32051448 http://dx.doi.org/10.1038/s41598-020-59220-y Text en © The Author(s) 2020 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
Khalid, Uman
ur Rehman, Junaid
Shin, Hyundong
Measurement-Based Quantum Correlations for Quantum Information Processing
title Measurement-Based Quantum Correlations for Quantum Information Processing
title_full Measurement-Based Quantum Correlations for Quantum Information Processing
title_fullStr Measurement-Based Quantum Correlations for Quantum Information Processing
title_full_unstemmed Measurement-Based Quantum Correlations for Quantum Information Processing
title_short Measurement-Based Quantum Correlations for Quantum Information Processing
title_sort measurement-based quantum correlations for quantum information processing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7015916/
https://www.ncbi.nlm.nih.gov/pubmed/32051448
http://dx.doi.org/10.1038/s41598-020-59220-y
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