An Additive Refinement of Quantum Channel Capacities

Capacities of quantum channels are fundamental quantities in the theory of quantum information. A desirable property is the additivity for a capacity measure. However, this cannot be achieved for a few quantities that have been established as capacity measures. Asymptotic regularization is generically necessary making the study of capacities notoriously hard. In this work, by a proper refinement of the physical settings of quantum communication using restricted encodings, we prove additive quantities for quantum channel capacities that can be employed for quantum Shannon theorems. This refinement is consistent with the principles of quantum theory, and it further demonstrates von Neumann entropy as the cornerstone of quantum information.

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Publication Details

Journal
Open Systems & Information Dynamics
Published
2025-03-01
DOI
https://doi.org/10.1142/s1230161225500015
Primary Topic
Quantum Information and Cryptography
Type
article
Field-Weighted Citation Impact
0.00
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An Additive Refinement of Quantum Channel Capacities

Dongsheng Wang
Open Systems & Information Dynamics
Quantum Information and Cryptography
article

An Additive Refinement of Quantum Channel Capacities

Dongsheng Wang
article en

Abstract

Capacities of quantum channels are fundamental quantities in the theory of quantum information. A desirable property is the additivity for a capacity measure. However, this cannot be achieved for a few quantities that have been established as capacity measures. Asymptotic regularization is generically necessary making the study of capacities notoriously hard. In this work, by a proper refinement of the physical settings of quantum communication using restricted encodings, we prove additive quantities for quantum channel capacities that can be employed for quantum Shannon theorems. This refinement is consistent with the principles of quantum theory, and it further demonstrates von Neumann entropy as the cornerstone of quantum information.

Open Systems & Information DynamicsVol. 32(01)
Chinese Academy of Sciences (CN), Institute of Theoretical Physics (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 95%
Quantum Information and Cryptography
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