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Quantum machine learning and vision have come to the fore recently, withhardware advances enabling rapid advancement in the capabilities of quantummachines. Recently, quantum image generation has been explored with manypotential advantages over non-quantum techniques; however, previous techniqueshave suffered from poor quality and robustness. To address these problems, weintroduce, MosaiQ, a high-quality quantum image generation GAN framework thatcan be executed on today's Near-term Intermediate Scale Quantum (NISQ)computers.

MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers