Machine Learning in Quantum Sciences
Anna Dawid; Julian Arnold; Borja Requena; Alexander Gresch; Marcin Plodzien; Kaelan Donatella; Kim A. Nicoli; Paolo Stornati; Rouven Koch; Miriam Büttner; Robert Okula; 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; Michal Tomza; Maciej Lewenstein; Alexandre Dauphin
Cambridge University Press
2025
sidottu
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.