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.

中文翻译：

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可扩展的分布式门模型量子计算机

分布式量子计算的可扩展模型是一个具有挑战性的问题，因为从小规模量子设备到大规模量子计算机的可能量子系统的多样性提供了问题空间的复杂性。在这里，我们定义了 NISQ（噪声中尺度量子）技术时代近期量子系统中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可以以分布式方式最大化计算问题的目标函数。我们研究退相干对分布式目标函数评估的影响。