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Can anyone provide a good link to understand how to implement qgan using pytorch in qiskit. Trying to understand this ( https://qiskit.org/documentation/machine-learning/tutorials/04_qgans_for_loading_random_distributions.html) but being a beginner not able to understand much. Thanks in adv.

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  • $\begingroup$ I am afraid you have to share a bit more with us. What have you tried so far? Are you familiar with classical GANs? Are you familiar with QNNs? Both are relatively broad topics and how to implement a GAN is not necessarily something you'd describe from scratch in a SO answer. $\endgroup$
    – 3yakuya
    Jan 16 at 3:16
  • $\begingroup$ I have tried quantum NN using pytorch and have studied about classical GAN. I don't have much idea about QGAN. I wanted to implement the QGAN technique to increase the dataset size. But not sure how to go about it. $\endgroup$
    – user14924
    Jan 16 at 12:50
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    $\begingroup$ This course in the Qiskit Textbook has a page on QGANs (although using tensorflow instead of pytorch). If you need more background, you can start from the beginning of the course. $\endgroup$
    – Frank
    Jan 17 at 11:38

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