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The following code is used to replicate the results of the paper:

Qugan: A generative adversarial network through quantum states, Samuel A. Stein and Betis Baheri and Daniel Chen and Ying Mao and Qiang Guan and Ang Li and Bo Fang and Shuai Xu, 2021 IEEE International Conference on Quantum Computing and Engineering (QCE).

Bibtex:

@inproceedings{stein2021qugan, title={QuGAN: A Generative Adversarial Network Through Quantum States}, author={Samuel A. Stein and Betis Baheri and Daniel Chen and Ying Mao and Qiang Guan and Ang Li and Bo Fang and Shuai Xu}, year={2021}, booktitle={2021 IEEE International Conference on Quantum Computing and Engineering (QCE)}, year={2021}, organization={IEEE} }

The code is run through an interactive Jupyter Notebook with comments.

  • Prerequisite packages include:
  • Tensorflow
  • Qiskit
  • Matplotlib
  • Numpy

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A Quantum State Fidelity based Generative Adversarial Network

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  • Jupyter Notebook 100.0%