Quantum architecture search for optimizing quantum generators in quantum GAN

As quantum computing continues to advance alongside machine learning, Quantum Generative Adversarial Networks (QGANs) have gained attention as a compelling generative modeling approach in quantum machine learning. Despite their potential, most existing QGAN implementations rely on manually designed...

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Bibliographic Details

Published in:	Machine Learning: Science and Technology
Main Authors:	Quangong Ma, Chaolong Hao, NianWen Si, Dan Qu
Format:	Article
Language:	English
Published:	IOP Publishing 2025-01-01
Subjects:	quantum architecture search quantum generative adversarial network quantum circuits
Online Access:	https://doi.org/10.1088/2632-2153/ae056d