Reinforcement Learning assisted Quantum Optimization

@article{Wauters2020ReinforcementLA,
  title={Reinforcement Learning assisted Quantum Optimization},
  author={Matteo M. Wauters and E. Panizon and Glen Mbeng and G. Santoro},
  journal={arXiv: Quantum Physics},
  year={2020}
}
  • Matteo M. Wauters, E. Panizon, +1 author G. Santoro
  • Published 2020
  • Physics, Mathematics
  • arXiv: Quantum Physics
  • We propose a reinforcement learning (RL) scheme for feedback quantum control within the quan-tum approximate optimization algorithm (QAOA). QAOA requires a variational minimization for states constructed by applying a sequence of unitary operators, depending on parameters living ina highly dimensional space. We reformulate such a minimum search as a learning task, where a RL agent chooses the control parameters for the unitaries, given partial information on the system. We show that our RL… CONTINUE READING

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