Query complexity of unitary operation discrimination
arXiv:2012.02944 · doi:10.1016/j.physa.2022.127863
Abstract
Discrimination of unitary operations is fundamental in quantum computation and information. A lot of quantum algorithms including the well-known Deutsch-Jozsa algorithm, Simon's algorithm, and Grover's algorithm can essentially be regarded as discriminating among individual, or sets of unitary operations (oracle operators). The problem of discriminating between two unitary operations and can be described as: Given , determine which one is. If is given with multiple copies, then one can design an adaptive procedure that takes multiple queries to to output the identification result of . In this paper, we consider the problem: How many queries are required for achieving a desired failure probability of discrimination between and . We prove in a uniform framework: (i) if and are discriminated with bound error , then the number of queries must satisfy , and (ii) if they are discriminated with one-sided error , then there is , where denotes the minimum integer not less than and denotes the length of the smallest arc containing all the eigenvalues of on the unit circle.
arXiv commentarXiv admin note: text overlap with arXiv:1711.03865
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