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NEW Machine Learning in Quantum Sciences by Cambridge Press 2025 Hardback Book
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Located in: Hagerstown, Maryland, United States
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eBay item number:376473778731
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- ISBN
- 9781009504935
About this product
Product Identifiers
Publisher
Cambridge University Press
ISBN-10
1009504932
ISBN-13
9781009504935
eBay Product ID (ePID)
21073183822
Product Key Features
Book Title
Machine Learning in Quantum Sciences
Language
English
Topic
Physics / Quantum Theory
Publication Year
2025
Illustrator
Yes
Genre
Science
Format
Hardcover
Dimensions
Item Height
0.9 in
Item Length
10.2 in
Item Width
7.3 in
Additional Product Features
Dewey Edition
23
Reviews
'The book gives a fantastic overview of an emerging research landscape where quantum sciences and machine learning meet. A good place to start for young researchers who want to help shape this exciting intersection.' Maria Schuld, Xanadu, Canada, 'This book is a valuable contribution to the field, striking a thoughtful balance between being self-contained and providing a broad survey of the different research directions. For physics students new to machine learning, the book can serve as an excellent entry point as it covers the essential foundational concepts. Likewise, experienced physicists already incorporating machine learning into their research will benefit from its well-curated overview of this rapidly evolving field.' Miranda Cheng, University of Amsterdam, Netherlands and Academia Sinica, Taiwan
Dewey Decimal
530.120285631
Table Of Content
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.
Synopsis
Artificial intelligence is dramatically reshaping scientific research and is coming to play an essential role in scientific and technological development by enhancing and accelerating discovery across multiple fields. This book dives into the interplay between artificial intelligence and the quantum sciences; the outcome of a collaborative effort from world-leading experts. After presenting the key concepts and foundations of machine learning, a subfield of artificial intelligence, its applications in quantum chemistry and physics are presented in an accessible way, enabling readers to engage with emerging literature on machine learning in science. By examining its state-of-the-art applications, readers will discover how machine learning is being applied within their own field and appreciate its broader impact on science and technology. This book is accessible to undergraduates and more advanced readers from physics, chemistry, engineering, and computer science. Online resources include Jupyter notebooks to expand and develop upon key topics introduced in the book., 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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- a***d (1029)- Feedback left by buyer.Past monthVerified purchaseExactly as described.
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- eBay automated feedback- Feedback left by buyer.Past monthOrder completed successfully—tracked and on time