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Quantum Generative Adversarial Networks: Gans, Semi-Supervised Gans, Variational Autoencoders

Contributor(s): Raj, Pethuru (Editor), Rahmani, Amir Masoud (Editor), Chakraborty, Somenath (Editor), Paranthaman, Ambika (Editor), Jayanthiladevi, A (Editor)

ISBN: 9783111354781

Publisher: de Gruyter

Hardcover
$171.99
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Pub Date: February 2, 2026

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 0.88" H x 9.61" L x 6.69" W ( 1.80 lbs) 388 pages

Series: Quantum Computing

Descriptions, Reviews, etc.

Description:

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.

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