Nowadays, quantum computing has reached the engineering phase, with fully-functional quantum processors integrating hundred of noisy qubits available. Yet -- to fully unveil the potential of quantum computing out of the labs and into business reality -- the challenge ahead is to substantially scale the qubit number, reaching orders of magnitude exceeding the thousands (if not millions) of noise-free qubits. To this aim, there exists a broad consensus among both academic and industry communities about considering the distributed computing paradigm as the key solution for achieving such a scaling, by envision multiple moderate-to-small-scale quantum processors communicating and cooperating to execute computational tasks exceeding the computational resources available within a single processing device. 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, and with an easy access and guide towards the relevant literature and the prominent results from a computer/communications engineering perspective.
翻译:目前,量子计算已经到了工程阶段,全功能量子处理器已经把100个噪音的qubit 整合在一起。然而,为了充分挖掘量子计算从实验室和进入商业现实中的潜力,今后的挑战是如何大幅度扩大当量子计算数量,达到超过数千(如果不是数百万)无噪音的quit 数量级。为此,学术界和工业界都广泛同意将分布式计算模式视为实现这一规模的关键解决办法,设想多个中小量子处理器进行沟通并合作执行计算任务,超过一个单一处理装置中可用的计算资源。这次调查的目的是向读者概述分布式量子计算的主要挑战和公开问题,并方便地获取和引导相关的文献以及计算机/通信工程学角度的突出成果。