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Machine Learning in Quantum Sciences

By: Alexander Gresch (Author) , Anna Dawid (Author) , Borja Requena (Author) , Julian Arnold (Author) , Kaelan ) Donatella (Author) , Kim A. Nicoli (Author) , Marcin Plodzien (Author) , Miriam Buttner (Author) , Paolo Stornati (Author) , Rouven Koch (Author)

1 in stock

Ksh 15,200.00

Format: Hardback or Cased Book

ISBN-10: 1009504932

ISBN-13: 9781009504935

Publisher: Cambridge University Press

Imprint: Cambridge University Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jun 12th, 2025

Publication Status: Active

Product extent: 330 Pages

Weight: 806.00 grams

Dimensions (height x width x thickness): 26.00 x 18.60 x 2.60 cms

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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.
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.

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