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

Quantum Generative Adversarial Networks: GANs, Semi-Supervised GANs, Variational Autoencoders book cover

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

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

  • Publisher: De Gruyter
  • Publication Date: 2 Feb. 2026
  • 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.

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About the Author

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

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