Hybrid quantum-classical generative adversarial networks for image generation via learning discrete distribution

Nan-Run Zhou, Tian-Feng Zhang, Xin-Wen Xie, Jun-Yun Wu

Abstract: Highlights•The structure of quantum generator is optimized to reduce the required parameters.•An image generation scheme is designed based on quantum generative adversarial networks.•The multimodal distribution of an image is converted into a unimodal distribution by the remapping method.•The MNIST images and the Fashion-MNIST ones are generated by the optimized quantum generator.