michelangelo21 / Var-QuantumCircuits-DeepRL

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Variational-Quantum-Circuits-DeepReinforcementLearning

This is the numerical code for the article:
Variational Quantum Circuits for Deep Reinforcement Learning

  • This work awarded the Xanadu AI software competition 2019 research track first prize. News

We also sincerely thank the supports from Xanadu AI to provide PennyLane, which is a great value to the quantum AI community.

Requirements

with pip/conda install

pennylane
pytorch
matplotlib
qiskit
gym
numpy

References

If you find this work helps your research or use the code, please consider to cite our official reference. Thank you.

@article{chen2020variational,
  title={Variational quantum circuits for deep reinforcement learning},
  author={Chen, Samuel Yen-Chi and Yang, Chao-Han Huck and Qi, Jun and Chen, Pin-Yu and Ma, Xiaoli and Goan, Hsi-Sheng},
  journal={IEEE Access},
  year={2020},
  publisher={IEEE}
}

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License:Apache License 2.0


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Language:Python 100.0%