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Bibliographic Details
Main Authors: Mikes, Colton, Farias Jr., Ismael R. de, Gutman, David Huckleberry, Howle, Victoria E.
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2305.01703
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author Mikes, Colton
Farias Jr., Ismael R. de
Gutman, David Huckleberry
Howle, Victoria E.
author_facet Mikes, Colton
Farias Jr., Ismael R. de
Gutman, David Huckleberry
Howle, Victoria E.
contents This paper introduces a quantum-classical hybrid algorithm for generalized pattern search (GPS) algorithms. We introduce a quantum search step algorithm using amplitude amplification, which reduces the number of oracle calls needed during the search step from O(N) classical calls to O(N^(1/2)) quantum calls. This work addresses three fundamental issues with using a quantum search step with GPS. First we address the need to mark an improved mesh point, a requirement of the amplitude amplification algorithm. Second, we introduce a modified version of the amplitude amplification algorithm QSearch, which is guaranteed to terminate using a finite number of iterations. Third, we avoid disrupting the GPS algorithm's convergence by limiting the quantum algorithm to the search step.
format Preprint
id arxiv_https___arxiv_org_abs_2305_01703
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Quantum Enhanced Pattern Search Optimization
Mikes, Colton
Farias Jr., Ismael R. de
Gutman, David Huckleberry
Howle, Victoria E.
Quantum Physics
This paper introduces a quantum-classical hybrid algorithm for generalized pattern search (GPS) algorithms. We introduce a quantum search step algorithm using amplitude amplification, which reduces the number of oracle calls needed during the search step from O(N) classical calls to O(N^(1/2)) quantum calls. This work addresses three fundamental issues with using a quantum search step with GPS. First we address the need to mark an improved mesh point, a requirement of the amplitude amplification algorithm. Second, we introduce a modified version of the amplitude amplification algorithm QSearch, which is guaranteed to terminate using a finite number of iterations. Third, we avoid disrupting the GPS algorithm's convergence by limiting the quantum algorithm to the search step.
title Quantum Enhanced Pattern Search Optimization
topic Quantum Physics
url https://arxiv.org/abs/2305.01703