Query complexity of unitary operation discrimination

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 $U$ and $V$ can be described as: Given $X\in\{U, V\}$, determine which one $X$ is. If $X$ is given with multiple copies, then one can design an adaptive procedure that takes multiple queries to $X$ to output the identification result of $X$. In this paper, we consider the problem: How many queries are required for achieving a desired failure probability $ε$ of discrimination between $U$ and $V$. We prove in a uniform framework: (i) if $U$ and $V$ are discriminated with bound error $ε$ , then the number of queries $T$ must satisfy $T\geq \left\lceil\frac{2\sqrt{1-4ε(1-ε)}}{Θ(U^\dagger V)}\right\rceil$, and (ii) if they are discriminated with one-sided error $ε$, then there is $T\geq \left\lceil\frac{2\sqrt{1-ε^2}}{Θ(U^\dagger V)}\right\rceil$, where $\lceil k\rceil$ denotes the minimum integer not less than $k$ and $Θ(W)$ denotes the length of the smallest arc containing all the eigenvalues of $W$ on the unit circle.