Statistical phase-space complexity of continuous-variable quantum channels.

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Title: Statistical phase-space complexity of continuous-variable quantum channels.
Authors: Tang, Siting1,2,3 (AUTHOR) siting.tang@unimi.it, Albarelli, Francesco4 (AUTHOR), Zhang, Yue1,2 (AUTHOR), Luo, Shunlong1,2 (AUTHOR), Paris, Matteo G. A.3 (AUTHOR) matteo.paris@fisica.unimi.it
Source: International Journal of Quantum Information. Apr2026, Vol. 24 Issue 3, p1-14. 14p.
Subjects: Gaussian channels, Quantum states, Quantum communication, Information theory, Information measurement
Abstract: The statistical complexity of continuous-variable quantum states can be characterized with a quantifier defined in terms of information-theoretic quantities derived from the Husimi Q -function. In this work, we utilize this complexity quantifier of quantum states to study the complexity of single-mode bosonic quantum channels. We define the complexity of quantum channels as the maximal amount of complexity they can generate from an initial state with the minimal complexity. We illustrate this concept by evaluating the complexity of Gaussian channels and some examples of non-Gaussian channels. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Quantum Information is the property of World Scientific Publishing Company 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.)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Quantum+Information%22">International Journal of Quantum Information</searchLink>. Apr2026, Vol. 24 Issue 3, p1-14. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Gaussian+channels%22">Gaussian channels</searchLink><br /><searchLink fieldCode="DE" term="%22Quantum+states%22">Quantum states</searchLink><br /><searchLink fieldCode="DE" term="%22Quantum+communication%22">Quantum communication</searchLink><br /><searchLink fieldCode="DE" term="%22Information+theory%22">Information theory</searchLink><br /><searchLink fieldCode="DE" term="%22Information+measurement%22">Information measurement</searchLink>
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  Data: The statistical complexity of continuous-variable quantum states can be characterized with a quantifier defined in terms of information-theoretic quantities derived from the Husimi Q -function. In this work, we utilize this complexity quantifier of quantum states to study the complexity of single-mode bosonic quantum channels. We define the complexity of quantum channels as the maximal amount of complexity they can generate from an initial state with the minimal complexity. We illustrate this concept by evaluating the complexity of Gaussian channels and some examples of non-Gaussian channels. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Quantum Information is the property of World Scientific Publishing Company 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: 10.1142/S0219749925400143
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Quantum states
        Type: general
      – SubjectFull: Quantum communication
        Type: general
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      – SubjectFull: Information measurement
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              Text: Apr2026
              Type: published
              Y: 2026
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