Quantum Generative Adversarial Networks
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Product details
- ISBN 9783111354781
- Weight: 772g
- Dimensions: 170 x 240mm
- Publication Date: 02 Feb 2026
- Publisher: De Gruyter
- Publication City/Country: DE
- Product Form: Hardback
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.
Pethuru Raj, Amir Masoud Rahmani, Somenath Chakra Borty, Ambika Paranthaman, Jayanthiladevi; India.
