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

Daniel Silver, Tirthak Patel, William Cutler, Aditya Ranjan, Harshitta Gandhi, Devesh Tiwari; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023, pp. 7030-7039

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.

Related Material

[pdf] [arXiv]
[bibtex]
@InProceedings{Silver_2023_ICCV, author = {Silver, Daniel and Patel, Tirthak and Cutler, William and Ranjan, Aditya and Gandhi, Harshitta and Tiwari, Devesh}, title = {MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7030-7039} }