• Corpus ID: 235624149

Accelerating variational quantum algorithms with multiple quantum processors

@article{Du2021AcceleratingVQ,
  title={Accelerating variational quantum algorithms with multiple quantum processors},
  author={Yuxuan Du and Yan Qian and Dacheng Tao},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.12819}
}
Variational quantum algorithms (VQAs) have the potential of utilizing near-term quantum machines to gain certain computational advantages over classical methods. Nevertheless, modern VQAs suffer from cumbersome computational overhead, hampered by the tradition of employing a solitary quantum processor to handle large-volume data. As such, to better exert the superiority of VQAs, it is of great significance to improve their runtime efficiency. Here we devise an efficient distributed optimization… 

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