Quantum Generative Adversarial Networks - GANs, Semi-Supervised GANs, Variational Autoencoders

About the author

Pethuru Raj,Amir Masoud Rahmani, Somenath Chakra Borty, Ambika Paranthaman, Jayanthiladevi; India.

Summary

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.

Product details

• Assisted by: Somenath Chakraborty (Editor), A. Jayanthiladevi (Editor), Ambika Paranthaman (Editor), Amir Masoud Rahmani (Editor), Pethuru Raj (Editor)
• Publisher: De Gruyter
• Languages: English
• Product format: Hardback
• Release: 10.11.2025
• EAN: 9783111354781
• ISBN: 978-3-11-135478-1
• No. of pages: 340
• Weight: 500 g
• Illustrations: 9 b/w and 40 col. ill., 18 b/w tbl., farbige Illustrationen, schwarz-weiss Illustrationen, Tabellen, schwarz-weiss
• Series: Quantum Computing
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing; Künstliche Intelligenz, Artificial Intelligence, COMPUTERS / General, COMPUTERS / Computer Science, Generative Adversarial Networks, Quantencomputer, Quantum Computing, Deep Neural Networks, Variational Autoencoders (VAEs)_x000D_ _x000D_, Deep Neural Networks (DNNs)