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PhysRevResearch.2.043276.pdf
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Final Published Version
Author
Zhuang, Q.Affiliation
Department of Electrical and Computer Engineering, University of ArizonaJames C. Wyant College of Optical Sciences, University of Arizona
Issue Date
2020
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American Physical SocietyCitation
Zhuang, Q. (2020). Ultimate limits of approximate unambiguous discrimination. Physical Review Research, 2(4).Journal
Physical Review ResearchRights
Copyright © The Author(s). Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Quantum hypothesis testing is an important tool for quantum information processing. Two main strategies have been widely adopted: in a minimum error discrimination strategy, the average error probability is minimized; while in an unambiguous discrimination strategy, an inconclusive decision (abstention) is allowed to vanish any possibility of errors when a conclusive result is obtained. In both scenarios, the testing between quantum states is relatively well understood, for example, the ultimate limits of the performance are established decades ago; however, the testing between quantum channels is less understood. Although the ultimate limit of minimum error discrimination between channels has been explored recently, the corresponding limit of unambiguous discrimination is unknown. In this paper, we formulate an approximate unambiguous discrimination scenario, and derive the ultimate limits of the performance for both states and channels. In particular, in the channel case, our lower bound of the inconclusive probability holds for arbitrary adaptive sensing protocols. For the special class of "teleportation-covariant"channels, the lower bound is achievable with maximum entangled inputs and no adaptive strategy is necessary. © 2020 authors. Published by the American Physical Society. 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.Note
Open access journalISSN
2643-1564Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1103/PhysRevResearch.2.043276
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Except where otherwise noted, this item's license is described as Copyright © The Author(s). Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license.