经典和量子字符串匹配算法的比较

Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI:10.1145/3573834.3574498

Margaret Gao, Rachel Huang, A. Mazumder, Fei Li

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引用次数: 0

摘要

本文主要研究了字符串匹配问题。鉴于目前领先的量子处理单元(qpu)不超过几百个量子比特，我们设计了一种用于嘈杂的中等规模量子(NISQ)计算机的量子字符串匹配算法[16]。我们还比较了经典算法和量子算法在不同组合下的性能。我们的研究为用户选择合适的经典算法或量子算法来解决字符串匹配问题提供了全面和定量的指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Comparisons of Classic and Quantum String Matching Algorithms✱

In this paper, we study the string matching problem. We design a quantum string-matching algorithm for noisy intermediate-scale quantum (NISQ) computers, given the current leading quantum processing units (QPUs) having no more than a few hundred qubits [16]. We also compare the performance of classic algorithms and quantum algorithms under various combinations. Our study provides a comprehensive and quantitative guide for users to choose appropriate classic or quantum algorithms for their string matching problems.

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Proceedings of the 4th International Conference on Advanced Information Science and System

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