Alexander Gresch, Rouven Koch, Alexandre Dauphin, Anna Dawid, Borja Requena, Julian Arnold, Kaelan Donatella, Kim A. Nicoli, Marcin Plodzien, Paolo Stornati

Machine Learning in Quantum Sciences

• Gebundenes Buch

Produktbeschreibung

This book provides an accessible introduction to machine learning and demonstrates its applications in the quantum sciences. Readers will be equipped with the necessary tools to engage with emerging literature on machine learning in science and will develop an understanding of its broader impact on science and technology.

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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 30. April 2025
• Englisch
• ISBN-13: 9781009504935
• ISBN-10: 1009504932
• Artikelnr.: 72598753

Inhaltsangabe

Preface
Acknowledgments
List of acronyms
Nomenclature
1. Introduction
2. Basics of machine learning
3. Phase classification
4. Gaussian processes and other kernel methods
5. Neural-network quantum states
6. Reinforcement learning
7. Deep learning for quantum sciences-selected topics
8. Physics for deep learning
9. Conclusion and outlook
A. Mathematical details on principal component analysis
B. Derivation of the kernel trick
C. Choosing the kernel matrix as the covariance matrix for a Gaussian process
References
Index.