Machine Learning in Quantum Sciences
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.
Cite this item
Dawid, A., Arnold, J., Requena, B., Gresch, A., Płodzień, M., Donatella, K., Nicoli, K. A., Stornati, P., Koch, R., Büttner, M., Okuła, R., Muñoz-Gil, G., Vargas–Hernández, R. A., Cervera-Lierta, A., Carrasquilla, J., Dunjko, V., Gabrié, M., Huembeli, P., van Nieuwenburg, E., et al. (2025). Machine Learning in Quantum Sciences. Cambridge University Press. https://doi.org/10.1017/9781009504942
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9781009504942
9781009504935
University of Warsaw
University of Basel
Institute of Photonic Sciences
Heinrich Heine University Düsseldorf
Institute of Photonic Sciences
Université Paris Cité
University of Bonn
Institute of Photonic Sciences
Aalto University
University of Freiburg
2025-06-13
REVIEWED
EPFL
| Relation | Related work | URL/DOI |
HasPart | Conclusion and outlook | |
HasPart | Phase classification | |
HasPart | Deep learning for quantum sciences: Selected topics | |
| Show more | ||