Variational estimation of capacity bounds for quantum channels

Junaid ur Rehman, Seongjin Hong, Yong-Su Kim, and Hyundong Shin
Phys. Rev. A 105, 032616 – Published 28 March 2022

Abstract

We propose a framework to variationally obtain detectable capacity bounds for quantum channels. The proposal of this framework is motivated by the difficulty of estimating the von Neumann entropy of an unknown quantum state. Instead of estimating the von Neumann entropy at the channel output, we propose to estimate the state purity—which can be measured by a single measurement setting—followed by bounding the von Neumann entropy from above and below. This procedure leads to new upper and lower bounds on various communication rates of quantum channels for some fixed input states. Then, by utilizing the variational method to find optimal input states we obtain lower bounds on (i) the quantum capacity of arbitrary channels, (ii) the entanglement-assisted classical capacity of arbitrary channels, and (iii) the classical capacity of covariant channels. Corresponding to these lower bounds, we also obtain upper bounds on (i) N-shot coherent information, (ii) the entanglement-assisted classical capacity, and (iii) the N-shot Holevo capacity of arbitrary quantum channels. All these bounds can be estimated by a single measurement setting without needing a full process tomography or any further a priori knowledge, e.g., preferred basis of the channel.

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  • Received 24 September 2021
  • Revised 6 January 2022
  • Accepted 15 March 2022

DOI:https://doi.org/10.1103/PhysRevA.105.032616

©2022 American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
Quantum Information, Science & Technology

Authors & Affiliations

Junaid ur Rehman1, Seongjin Hong2, Yong-Su Kim2,3, and Hyundong Shin1,*

  • 1Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin 17104, Republic of Korea
  • 2Center for Quantum Information, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea
  • 3Division of Nano & Information Technology, KIST School, Korea University of Science and Technology, Seoul 02792, Republic of Korea

  • *Corresponding author: hshin@khu.ac.kr

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Vol. 105, Iss. 3 — March 2022

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