Quantum Machine Learning: Concepts and possibilities (IOP Series in Quantum Technology) - Hardcover

Hamilton, Kathleen E.; Delgado, Andrea

Hardcover

ISBN 10: 0750349506 ISBN 13: 9780750349505

Publisher: Institute of Physics Publishing, 2025

Synopsis

The scope of the book spans from the fundamental postulates of quantum mechanics and quantum algorithms that underpin QML, to advanced topics including variational quantum algorithms, quantum neural networks, and quantum generative models. It covers both the theoretical formulations, such as expressivity, generalization bounds, and kernel methods, and practical applications, ranging from optimization and pattern recognition to simulation and sensing. The text also explores hybrid quantum-classical workflows, error mitigation strategies, and benchmarks that connect algorithmic development to near-term hardware implementations. By the end of this book, readers gain a holistic view of the current state, promises, and challenges of QML, as well as directions for future research in this rapidly evolving field.

Key Features:

• A chapter on quantum generative models.
• Accessible reference text useful for both students and researchers.
• Case studies

Edition details

• Publisher: Institute of Physics Publishing
• Publication date: 2025
• Language: English
• ISBN 10: 0750349506
• ISBN 13: 9780750349505
• Binding: Hardcover
• Number of pages: 136