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

翻译：量子机器学习与视觉近期崭露头角，硬件进步使得量子机器能力的快速提升成为可能。当前，量子图像生成已被广泛探索，相较于非量子技术具有诸多潜在优势；然而，以往的技术存在质量差、鲁棒性不足等缺陷。为解决这些问题，我们提出MosaiQ——一种高质量量子图像生成GAN框架，可在当今近中期含噪量子（NISQ）计算机上执行。