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Quantum Machine Learning: Concepts and possibilities

Quantum Machine Learning: Concepts and possibilities

Hardcover

Series: Iop Quantum Technology

General ComputersPhysics

ISBN10: 0750349506
ISBN13: 9780750349505
Publisher: Institute of Physics Publishing
Published: Dec 15 2025
Pages: 136
Weight: 1.01
Height: 0.38 Width: 7.00 Depth: 10.00
Language: English

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.

Also from

Hamilton, Kathleen E.

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Physics