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  • Quantum State Discrimination Using the Minimum Average Number of Copies

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    SlussarenkoPUB4577.pdf (4.496Mb)
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    Accepted Manuscript (AM)
    Author(s)
    Slussarenko, Sergei
    Weston, Morgan M
    Li, Jun-Gang
    Campbell, Nicholas
    Wiseman, Howard M
    Pryde, Geoff J
    Griffith University Author(s)
    Wiseman, Howard M.
    Pryde, Geoff
    Slussarenko, Sergei
    Year published
    2017
    Metadata
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    Abstract
    In the task of discriminating between nonorthogonal quantum states from multiple copies, the key parameters are the error probability and the resources (number of copies) used. Previous studies have considered the task of minimizing the average error probability for fixed resources. Here we introduce a new state discrimination task: minimizing the average resources for a fixed admissible error probability. We show that this new task is not performed optimally by previously known strategies, and derive and experimentally test a detection scheme that performs better.In the task of discriminating between nonorthogonal quantum states from multiple copies, the key parameters are the error probability and the resources (number of copies) used. Previous studies have considered the task of minimizing the average error probability for fixed resources. Here we introduce a new state discrimination task: minimizing the average resources for a fixed admissible error probability. We show that this new task is not performed optimally by previously known strategies, and derive and experimentally test a detection scheme that performs better.
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    Journal Title
    Physical Review Letters
    Volume
    118
    DOI
    https://doi.org/10.1103/PhysRevLett.118.030502
    Copyright Statement
    © 2017 American Physical Society. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
    Subject
    Mathematical sciences
    Physical sciences
    Other physical sciences not elsewhere classified
    Engineering
    Publication URI
    http://hdl.handle.net/10072/342635
    Collection
    • Journal articles

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