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Quantum Generative Adversarial Networks

GANs, Semi-Supervised GANs, Variational Autoencoders

GANs represent a generative model leveraging the growing power of deep learning (DL) algorithms. This book presents the breakthroughs, applications and latest research innovations of GANs and of quantum GANs. In particular, the book includes contributions on Autoencoders and Variational Autoencoders, Semi-Supervised GANs, Quantum GANs and Quantum Data Privacy, and Quantum GANs for image manipulation.

Februar 2026, 374 Seiten, Quantum Computing, Englisch
De Gruyter
978-3-11-135478-1

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