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arXiv 2109.07910quant-ph

IBMQ Experience中的量子算法:Deutsch-Jozsa算法

Quantum Algorithms in IBMQ Experience: Deutsch-Jozsa algorithm

Antonio N. Oliveira, Estêvão V. B. de Oliveira, Alan C. Santos, Celso J. Villas-Bôas

AI总结:

本文以教学视角介绍IBM最新版量子计算机的基础要素与工具,详细阐述Deutsch-Jozsa算法的原理、相对经典算法的效率优势,及该算法在4量子比特系统上的实验实现,为相关教学研究铺路。

摘要:

量子信息处理已成为新信息时代的核心支柱之一。在此背景下,量子信息的调控与处理发挥着基础性作用,能够操控这类信息的计算机也已成为现实。本文以教学式的方式介绍了IBM最新版量子计算机的基础要素及其主要工具,还详细阐述了用于区分常值函数与平衡函数的Deutsch-Jozsa算法,并讨论了该算法相较于完成相同任务的经典算法的效率优势。文中展示了该算法在4量子比特系统上的实验实现。本文为针对IBM系统以及知名量子算法的一系列教学研究铺平了道路。

英文摘要:

Quantum information processing has been one of the pillars of the new information age. In this sense, the control and processing of quantum information plays a fundamental role, and computers capable of manipulating such information have become a reality. In this article we didactically present basic elements of the latest version of IBM's quantum computer and its main tools. We also present in detail the Deutsch-Jozsa algorithm used to differentiate constant functions from balanced functions, also, including a discussion of its efficiency against classical algorithms for the same task. The experimental implementation of the algorithm in a 4-qbit system is presented. Our article paves the way for a series of didactic investigations into the IBM system as well as the best known quantum algorithms.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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