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Masking quantum information in the Kitaev Abelian anyons.

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Title: Masking quantum information in the Kitaev Abelian anyons.
Authors: Shen, Yao1 (AUTHOR) shenyao@ppsuc.edu.cn, Zhang, Fu-Lin2 (AUTHOR) flzhang@tju.edu.cn, Chen, Yu-Zhu3 (AUTHOR) chenyuzhu@tiangong.edu.cn, Zhou, Chi-Chun1,4 (AUTHOR) zhouchichun@dali.edu.cn
Source: Physica A. Feb2023, Vol. 612, pN.PAG-N.PAG. 1p.
Subjects: Anyons, Quantum correlations, Quantum computing, Computational physics
Abstract: Quantum information masking is a task in which quantum information is stored in quantum correlations but hidden from the reduced subsystems. The task is not available in bipartite systems, which becomes known as no-masking theorem. Here, we propose two multipartite maskers in the systems of the Kitaev Abelian anyons. One is an eight-qudit scheme on the basis of the correspondence between the Gentile statistics and the Abelian anyons, the other is an alternative four-qubit case as a complement. Gentile statistics is a useful tool in computational physics and neural networks. Our work may enable the masking of quantum information to be implemented in topological quantum systems. • We provide a view of the quantum information on the unitary evolution of quantum field systems. • We give a physical image for the exchange of different Abelian anyons. • We propose two multipartite maskers in the systems of the Kitaev Abelian anyons. • We gives a possible way to implement the quantum information masking in many-body systems. [ABSTRACT FROM AUTHOR]
Copyright of Physica A is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Quantum information masking is a task in which quantum information is stored in quantum correlations but hidden from the reduced subsystems. The task is not available in bipartite systems, which becomes known as no-masking theorem. Here, we propose two multipartite maskers in the systems of the Kitaev Abelian anyons. One is an eight-qudit scheme on the basis of the correspondence between the Gentile statistics and the Abelian anyons, the other is an alternative four-qubit case as a complement. Gentile statistics is a useful tool in computational physics and neural networks. Our work may enable the masking of quantum information to be implemented in topological quantum systems. • We provide a view of the quantum information on the unitary evolution of quantum field systems. • We give a physical image for the exchange of different Abelian anyons. • We propose two multipartite maskers in the systems of the Kitaev Abelian anyons. • We gives a possible way to implement the quantum information masking in many-body systems. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Physica A is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.physa.2023.128495
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Quantum correlations
        Type: general
      – SubjectFull: Quantum computing
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      – TitleFull: Masking quantum information in the Kitaev Abelian anyons.
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              M: 02
              Text: Feb2023
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              Y: 2023
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