Corpus ID: 221150441

Reinforcement Learning with Quantum Variational Circuits

@article{Lockwood2020ReinforcementLW,
  title={Reinforcement Learning with Quantum Variational Circuits},
  author={Owen Lockwood and Mei Si},
  journal={ArXiv},
  year={2020},
  volume={abs/2008.07524}
}
The development of quantum computational techniques has advanced greatly in recent years, parallel to the advancements in techniques for deep reinforcement learning. This work explores the potential for quantum computing to facilitate reinforcement learning problems. Quantum computing approaches offer important potential improvements in time and space complexity over traditional algorithms because of its ability to exploit the quantum phenomena of superposition and entanglement. Specifically… Expand

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