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可扩展分布式门模型量子计算机。

Scalable distributed gate-model quantum computers.

作者信息

Gyongyosi Laszlo, Imre Sandor

机构信息

Department of Networked Systems and Services, Budapest University of Technology and Economics, Budapest, 1117, Hungary.

MTA-BME Information Systems Research Group, Hungarian Academy of Sciences, Budapest, 1051, Hungary.

出版信息

Sci Rep. 2021 Feb 26;11(1):5172. doi: 10.1038/s41598-020-76728-5.

Abstract

A scalable model for a distributed quantum computation is a challenging problem due to the complexity of the problem space provided by the diversity of possible quantum systems, from small-scale quantum devices to large-scale quantum computers. Here, we define a model of scalable distributed gate-model quantum computation in near-term quantum systems of the NISQ (noisy intermediate scale quantum) technology era. We prove that the proposed architecture can maximize an objective function of a computational problem in a distributed manner. We study the impacts of decoherence on distributed objective function evaluation.

摘要

由于从小型量子设备到大型量子计算机等各种可能的量子系统所提供的问题空间的复杂性,分布式量子计算的可扩展模型是一个具有挑战性的问题。在此,我们定义了一个适用于NISQ(有噪声中等规模量子)技术时代近期量子系统的可扩展分布式门模型量子计算模型。我们证明,所提出的架构能够以分布式方式最大化一个计算问题的目标函数。我们研究了退相干对分布式目标函数评估的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0d6/7910494/27167d730119/41598_2020_76728_Fig1_HTML.jpg

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