Query complexity of unitary operation discrimination
Xiaowei Huang, Lvzhou Li

TL;DR
This paper establishes bounds on the number of queries needed to discriminate between two quantum unitary operations with a specified error probability, linking query complexity to the eigenvalue spectrum of their product.
Contribution
It provides a uniform framework for quantifying the query complexity of unitary discrimination, deriving explicit lower bounds based on eigenvalue arc length and error type.
Findings
Lower bound for bounded-error discrimination: T ≥ ⌈(2√(1-4ε(1-ε)))/Θ(U†V)⌉
Lower bound for one-sided error discrimination: T ≥ ⌈(2√(1-ε²))/Θ(U†V)⌉
Eigenvalue spectrum determines query complexity in quantum discrimination tasks.
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…
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Taxonomy
TopicsAdvanced Algebra and Logic · Advanced Database Systems and Queries
