Quantum channel simulation and the channel’s smooth max-information
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Accepted version
Author(s)
Fang, Kun
Wang, Xin
Tomamichel, Marco
Berta, Mario
Type
Journal Article
Abstract
We study the general framework of quantum channel simulation, that is, the ability of a quantum channel to simulate another one using different classes of codes. First, we show that the minimum error of simulation and the one-shot quantum simulation cost under no-signalling assisted codes are given by semidefinite programs. Second, we introduce the channel’s smooth max-information, which can be seen as a one-shot generalization of the mutual information of a quantum channel. We provide an exact operational interpretation of the channel’s smooth max-information as the one-shot quantum simulation cost under no-signalling assisted codes, which significantly simplifies the study of channel simulation and provides insights and bounds for the case under entanglement-assisted codes. Third, we derive the asymptotic equipartition property of the channel’s smooth max-information; i.e., it converges to the quantum mutual information of the channel in the independent and identically distributed asymptotic limit. This implies the quantum reverse Shannon theorem in the presence of no-signalling correlations. Finally, we explore the simulation cost of various quantum channels.
Date Issued
2020-04-01
Date Acceptance
2019-09-01
Citation
IEEE Transactions on Information Theory, 2020, 66 (4), pp.2129-2140
ISSN
0018-9448
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Start Page
2129
End Page
2140
Journal / Book Title
IEEE Transactions on Information Theory
Volume
66
Issue
4
Copyright Statement
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
https://ieeexplore.ieee.org/document/8850073
Subjects
0801 Artificial Intelligence and Image Processing
0906 Electrical and Electronic Engineering
1005 Communications Technologies
Networking & Telecommunications
Publication Status
Published
Date Publish Online
2019-09-26