학술논문

MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers
Document Type
Conference
Source
2023 IEEE/CVF International Conference on Computer Vision (ICCV) ICCV Computer Vision (ICCV), 2023 IEEE/CVF International Conference on. :7007-7016 Oct, 2023
Subject
Computing and Processing
Signal Processing and Analysis
Computers
Computer vision
Quantum computing
Image synthesis
Machine learning
Generative adversarial networks
Robustness
Language
ISSN
2380-7504
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.