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Machine Learning in Quantum Sciences
Anna Dawid
Alexandre Dauphin
Julian Arnold
Borja Requena
Alexander Gresch
Marcin Płodzień
Kaelan Donatella
Kim A. Nicoli
Paolo Stornati
Rouven Koch
Miriam Büttner
Robert Okuła
Gorka Muñoz-Gil
Rodrigo A. Vargas-Hernández
Alba Cervera-Lierta
Juan Carrasquilla
Vedran Dunjko
Marylou Gabrié
Patrick Huembeli
Evert van Nieuwenburg
Filippo Vicentini
Lei Wang
Sebastian J. Wetzel
Giuseppe Carleo
Eliška Greplová
Roman Krems
Florian Marquardt
Michał Tomza
Maciej Lewenstein
出版
Cambridge University Press
, 2025-04-30
主題
Science / Physics / Quantum Theory
ISBN
1009504932
9781009504935
URL
http://books.google.com.hk/books?id=H3jx0AEACAAJ&hl=&source=gbs_api
註釋
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.