www.turing.ac.uk/work-turing/quantum-generative-machine-learning-sep-2023
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bridge the gap between classical (generative adversarial networks (GANs) and quantum generative adversarial networks (QGANs) to synthesise realistic data (images for the purposes of this work) through the generation of high dimensional data
investigate if we can experimentally achieve the learning and generation of real-world images on near term quantum devices.
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