Quantum Generative Adversarial Networks
Author(s): Pethuru Raj (Editor), Amir Masoud Rahmani (Editor), Somenath Chakraborty (Editor)
- Publisher: de Gruyter
- Publication Date: November 10, 2025
- Language: English
- Print length: 388 pages
- ISBN-10: 3111354784
- ISBN-13: 9783111354781
Book 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.