Neural predictor based quantum architecture search

@article{Zhang2021NeuralPB,
  title={Neural predictor based quantum architecture search},
  author={Shi-Xin Zhang and Chang-Yu Hsieh and Shengyu Zhang and Hong Yao},
  journal={Machine Learning: Science and Technology},
  year={2021},
  volume={2}
}
  • Shi-Xin Zhang, Chang-Yu Hsieh, +1 author Hong Yao
  • Published 11 March 2021
  • Computer Science, Physics
  • Machine Learning: Science and Technology
Variational quantum algorithms (VQAs) are widely speculated to deliver quantum advantages for practical problems under the quantum–classical hybrid computational paradigm in the near term. Both theoretical and practical developments of VQAs share many similarities with those of deep learning. For instance, a key component of VQAs is the design of task-dependent parameterized quantum circuits (PQCs) as in the case of designing a good neural architecture in deep learning. Partly inspired by the… Expand
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