Element Distinctness Revisited

TL;DR

This paper refines the analysis of a quantum algorithm for element distinctness, optimizing key parameters to improve success probability and clarify its practical efficiency.

Contribution

It determines the optimal values for two critical parameters in Ambainis' quantum algorithm, enhancing understanding of its success probability and runtime.

Findings

Success probability approaches 1 with optimal parameters

Exact running time and success probability are specified

Improved understanding of quantum element distinctness algorithm

Abstract

The element distinctness problem is the problem of determining whether the elements of a list are distinct, that is, if $x=(x_1,...,x_N)$ is a list with $N$ elements, we ask whether the elements of $x$ are distinct or not. The solution in a classical computer requires $N$ queries because it uses sorting to check whether there are equal elements. In the quantum case, it is possible to solve the problem in $O(N^{2/3})$ queries. There is an extension which asks whether there are $k$ colliding elements, known as element $k$-distinctness problem. This work obtains optimal values of two critical parameters of Ambainis' seminal quantum algorithm [SIAM J.~Comput., 37, 210-239, 2007]. The first critical parameter is the number of repetitions of the algorithm's main block, which inverts the phase of the marked elements and calls a subroutine. The second parameter is the number of quantum walk steps interlaced by oracle queries. We show that, when the optimal values of the parameters are used, the algorithm's success probability is $1-O(N^{1/(k+1)})$, quickly approaching 1. The specification of the exact running time and success probability is important in practical applications of this algorithm.