Strong majorization uncertainty relations and experimental verifications

In spite of enormous theoretical and experimental progress in quantum uncertainty relations, the experimental investigation of the most current, and universal formalism of uncertainty relations, namely majorization uncertainty relations (MURs), has not been implemented yet. A major problem is that p...

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Main Authors: Yuan, Yuan, Xiao, Yunlong, Hou, Zhibo, Fei, Shao-Ming, Gour, Gilad, Xiang, Guo-Yong, Li, Chuan-Feng, Guo, Guang-Can
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/171553
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1715532023-10-30T15:35:10Z Strong majorization uncertainty relations and experimental verifications Yuan, Yuan Xiao, Yunlong Hou, Zhibo Fei, Shao-Ming Gour, Gilad Xiang, Guo-Yong Li, Chuan-Feng Guo, Guang-Can School of Physical and Mathematical Sciences Nanyang Quantum Hub Science::Physics Majorization Uncertainty Relations Guessing Game Formalism In spite of enormous theoretical and experimental progress in quantum uncertainty relations, the experimental investigation of the most current, and universal formalism of uncertainty relations, namely majorization uncertainty relations (MURs), has not been implemented yet. A major problem is that previous studies of majorization uncertainty relations mainly focus on their mathematical expressions, leaving the physical interpretation of these different forms unexplored. To address this problem, we employ a guessing game formalism to reveal physical differences between diverse forms of majorization uncertainty relations. Furthermore, we tighter the bounds of MURs by using flatness processes. Finally, we experimentally verify strong MURs in the photonic system to benchmark our theoretical results. Agency for Science, Technology and Research (A*STAR) Published version This work is supported by the National Natural Science Foundation of China (Grants Nos. 12004113, 62222512, 12104439, 12134014, 61905234, 11974335) and Natural Science Foundation of Shanghai (22ZR1418100). Y.X. is supported by A*STAR’s Central Research Fund (CRF UIBR). G.G. acknowledges support from the Natural Sciences and Engineering Research Council of Canada (NSERC). S.-M.F. acknowledges financial support from the National Natural Science Foundation of China (Grant Nos. 12075159 and 12171044), Beijing Natural Science Foundation (Grant No. Z190005), and Academician Innovation Platform of Hainan Province. 2023-10-30T07:55:51Z 2023-10-30T07:55:51Z 2023 Journal Article Yuan, Y., Xiao, Y., Hou, Z., Fei, S., Gour, G., Xiang, G., Li, C. & Guo, G. (2023). Strong majorization uncertainty relations and experimental verifications. Npj Quantum Information, 9(1). https://dx.doi.org/10.1038/s41534-023-00736-2 2056-6387 https://hdl.handle.net/10356/171553 10.1038/s41534-023-00736-2 2-s2.0-85164124193 1 9 en CRF UIBR npj Quantum Information © The Author(s) 2023. 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/. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Physics
Majorization Uncertainty Relations
Guessing Game Formalism
spellingShingle Science::Physics
Majorization Uncertainty Relations
Guessing Game Formalism
Yuan, Yuan
Xiao, Yunlong
Hou, Zhibo
Fei, Shao-Ming
Gour, Gilad
Xiang, Guo-Yong
Li, Chuan-Feng
Guo, Guang-Can
Strong majorization uncertainty relations and experimental verifications
description In spite of enormous theoretical and experimental progress in quantum uncertainty relations, the experimental investigation of the most current, and universal formalism of uncertainty relations, namely majorization uncertainty relations (MURs), has not been implemented yet. A major problem is that previous studies of majorization uncertainty relations mainly focus on their mathematical expressions, leaving the physical interpretation of these different forms unexplored. To address this problem, we employ a guessing game formalism to reveal physical differences between diverse forms of majorization uncertainty relations. Furthermore, we tighter the bounds of MURs by using flatness processes. Finally, we experimentally verify strong MURs in the photonic system to benchmark our theoretical results.
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Yuan, Yuan
Xiao, Yunlong
Hou, Zhibo
Fei, Shao-Ming
Gour, Gilad
Xiang, Guo-Yong
Li, Chuan-Feng
Guo, Guang-Can
format Article
author Yuan, Yuan
Xiao, Yunlong
Hou, Zhibo
Fei, Shao-Ming
Gour, Gilad
Xiang, Guo-Yong
Li, Chuan-Feng
Guo, Guang-Can
author_sort Yuan, Yuan
title Strong majorization uncertainty relations and experimental verifications
title_short Strong majorization uncertainty relations and experimental verifications
title_full Strong majorization uncertainty relations and experimental verifications
title_fullStr Strong majorization uncertainty relations and experimental verifications
title_full_unstemmed Strong majorization uncertainty relations and experimental verifications
title_sort strong majorization uncertainty relations and experimental verifications
publishDate 2023
url https://hdl.handle.net/10356/171553
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