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arXiv · 2308.11096

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

Daniel Silver·Tirthak Patel·William Cutler·Aditya Ranjan·Harshitta Gandhi·Devesh Tiwari
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Abstract

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.

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Daniel Silver, Tirthak Patel, William Cutler, Aditya Ranjan, Harshitta Gandhi, Devesh Tiwari. 2023-08-22. MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers. https://arxiv.org/abs/2308.11096

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