• Open Access

Ultimate Limits for Multiple Quantum Channel Discrimination

Quntao Zhuang and Stefano Pirandola
Phys. Rev. Lett. 125, 080505 – Published 21 August 2020
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Abstract

Quantum hypothesis testing is a central task in the entire field of quantum information theory. Understanding its ultimate limits will give insight into a wide range of quantum protocols and applications, from sensing to communication. Although the limits of hypothesis testing between quantum states have been completely clarified by the pioneering works of Helstrom in the 1970s, the more difficult problem of hypothesis testing with quantum channels, i.e., channel discrimination, is less understood. This is mainly due to the complications coming from the use of input entanglement and the possibility of employing adaptive strategies. In this Letter, we establish a lower limit for the ultimate error probability affecting the discrimination of an arbitrary number of quantum channels. We also show that this lower bound is achievable when the channels have certain symmetries. As an example, we apply our results to the problem of channel position finding, where the goal is to identify the location of a target channel among multiple background channels. In this general setting, we find that the use of entanglement offers a great advantage over strategies without entanglement, with nontrivial implications for data readout, target detection, and quantum spectroscopy.

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  • Received 8 March 2020
  • Accepted 28 July 2020

DOI:https://doi.org/10.1103/PhysRevLett.125.080505

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Quntao Zhuang1,2,* and Stefano Pirandola3

  • 1Department of Electrical and Computer Engineering, University of Arizona, Tucson, Arizona 85721, USA
  • 2James C. Wyant College of Optical Sciences, University of Arizona, Tucson, Arizona 85721, USA
  • 3Department of Computer Science, University of York, York YO10 5GH, United Kingdom

  • *zhuangquntao@email.arizona.edu

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Issue

Vol. 125, Iss. 8 — 21 August 2020

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