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Unified and Exact Framework for Variance-Based Uncertainty Relations
We provide a unified and exact framework for the variance-based uncertainty relations. This unified framework not only recovers some well-known previous uncertainty relations, but also fixes the deficiencies of them. Utilizing the unified framework, we can construct the new uncertainty relations in...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954228/ https://www.ncbi.nlm.nih.gov/pubmed/31924830 http://dx.doi.org/10.1038/s41598-019-56803-2 |
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author | Zheng, Xiao Ma, Shao-Qiang Zhang, Guo-Feng Fan, Heng Liu, Wu-Ming |
author_facet | Zheng, Xiao Ma, Shao-Qiang Zhang, Guo-Feng Fan, Heng Liu, Wu-Ming |
author_sort | Zheng, Xiao |
collection | PubMed |
description | We provide a unified and exact framework for the variance-based uncertainty relations. This unified framework not only recovers some well-known previous uncertainty relations, but also fixes the deficiencies of them. Utilizing the unified framework, we can construct the new uncertainty relations in both product and sum form for two and more incompatible observables with any tightness we require. Moreover, one can even construct uncertainty equalities to exactly express the uncertainty relation by the unified framework, and the framework is therefore exact in describing the uncertainty relation. Some applications have been provided to illustrate the importance of this unified and exact framework. Also, we show that the contradiction between uncertainty relation and non-Hermitian operator, i.e., most of uncertainty relations will be violated when applied to non-Hermitian operators, can be fixed by this unified and exact framework. |
format | Online Article Text |
id | pubmed-6954228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69542282020-01-15 Unified and Exact Framework for Variance-Based Uncertainty Relations Zheng, Xiao Ma, Shao-Qiang Zhang, Guo-Feng Fan, Heng Liu, Wu-Ming Sci Rep Article We provide a unified and exact framework for the variance-based uncertainty relations. This unified framework not only recovers some well-known previous uncertainty relations, but also fixes the deficiencies of them. Utilizing the unified framework, we can construct the new uncertainty relations in both product and sum form for two and more incompatible observables with any tightness we require. Moreover, one can even construct uncertainty equalities to exactly express the uncertainty relation by the unified framework, and the framework is therefore exact in describing the uncertainty relation. Some applications have been provided to illustrate the importance of this unified and exact framework. Also, we show that the contradiction between uncertainty relation and non-Hermitian operator, i.e., most of uncertainty relations will be violated when applied to non-Hermitian operators, can be fixed by this unified and exact framework. Nature Publishing Group UK 2020-01-10 /pmc/articles/PMC6954228/ /pubmed/31924830 http://dx.doi.org/10.1038/s41598-019-56803-2 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 Zheng, Xiao Ma, Shao-Qiang Zhang, Guo-Feng Fan, Heng Liu, Wu-Ming Unified and Exact Framework for Variance-Based Uncertainty Relations |
title | Unified and Exact Framework for Variance-Based Uncertainty Relations |
title_full | Unified and Exact Framework for Variance-Based Uncertainty Relations |
title_fullStr | Unified and Exact Framework for Variance-Based Uncertainty Relations |
title_full_unstemmed | Unified and Exact Framework for Variance-Based Uncertainty Relations |
title_short | Unified and Exact Framework for Variance-Based Uncertainty Relations |
title_sort | unified and exact framework for variance-based uncertainty relations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954228/ https://www.ncbi.nlm.nih.gov/pubmed/31924830 http://dx.doi.org/10.1038/s41598-019-56803-2 |
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