Hybrid Quantum–Classical Generative Adversarial Network for High-Resolution Image Generation

Quantum machine learning (QML) has received increasing attention due to its potential to outperform classical machine learning methods in problems, such as classification and identification tasks. A subclass of QML methods is quantum generative adversarial networks (QGANs), which have been studied a...

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Bibliographic Details
Main Authors: Shu Lok Tsang, Maxwell T. West, Sarah M. Erfani, Muhammad Usman
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Quantum Engineering
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10264175/