分布式量子计算:调查

IF 4.4 2区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Computer Networks Pub Date : 2024-08-08 DOI:10.1016/j.comnet.2024.110672
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引用次数: 0

摘要

如今,量子计算已进入工程设计阶段,全功能量子处理器集成了数百个噪声量子比特。然而,要将量子计算的潜力从实验室充分释放到商业现实中,未来的挑战是大幅扩展量子比特数量,使其数量级超过数千个容错量子比特。为此,分布式量子计算模式被认为是扩展量子比特数量的关键解决方案。事实上,根据这种模式,多个中小规模的量子处理器可以进行通信和合作,以执行超过单个处理设备计算能力的计算任务。本调查旨在从计算机和通信工程的角度,向读者概述分布式量子计算所面临的主要挑战和公开问题。此外,本调查报告还为读者查阅相关文献和了解该领域的重要成果提供了便捷的途径和指南。
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Distributed quantum computing: A survey

Nowadays, quantum computing has reached the engineering phase, with fully-functional quantum processors integrating hundreds of noisy qubits. Yet – to fully unveil the potential of quantum computing out of the labs into the business reality – the challenge ahead is to substantially scale the qubit number, reaching orders of magnitude exceeding thousands of fault-tolerant qubits. To this aim, the distributed quantum computing paradigm is recognized as the key solution for scaling the number of qubits. Indeed, accordingly to such a paradigm, multiple small-to-moderate-scale quantum processors communicate and cooperate for executing computational tasks exceeding the computational power of single processing devices. The aim of this survey is to provide the reader with an overview about the main challenges and open problems arising with distributed quantum computing from a computer and communications engineering perspective. Furthermore, this survey provides an easy access and guide towards the relevant literature and the prominent results in the field.

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来源期刊
Computer Networks
Computer Networks 工程技术-电信学
CiteScore
10.80
自引率
3.60%
发文量
434
审稿时长
8.6 months
期刊介绍: Computer Networks is an international, archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in the computer communications networking area. The audience includes researchers, managers and operators of networks as well as designers and implementors. The Editorial Board will consider any material for publication that is of interest to those groups.
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