Quantum Machine Learning: Concepts and possibilities - Tapa blanda

Hamilton, Kathleen E; Delgado, Andrea

 
9780750349536: Quantum Machine Learning: Concepts and possibilities
Tapa blanda
ISBN 10: 0750349530 ISBN 13: 9780750349536
Editorial: Institute of Physics Publishing, 2025

Sinopsis

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

"Sinopsis" puede pertenecer a otra edición de este libro.

Editorial
Institute of Physics Publishing
Año de publicación
2025
Idioma
Inglés
ISBN 10 
0750349530
ISBN 13 
9780750349536
Encuadernación
Tapa blanda
Número de páginas
136
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9780750349505: Quantum Machine Learning: Concepts and possibilities (IOP ebooks)

Edición Destacada

ISBN 10:  0750349506 ISBN 13:  9780750349505
Editorial: Institute of Physics Publishing, 2025
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