(Press-News.org) New book: Machine Learning in Quantum Sciences
Cambridge University Press has published a new book Machine Learning in Quantum Science Machine Learning in Quantum Sciences co-authored by researchers from the University of Warsaw, offering both an introduction to machine learning and deep neural networks, and an overview of their applications in quantum physics and chemistry — from reinforcement learning for controlling quantum experiments to neural networks used as representations of many-body quantum states. The book appears at a time when artificial intelligence is becoming an increasingly recognized tool for scientific discovery — a development recently recognized with the Nobel Prize in Chemistry awarded for the AlphaFold tool. It serves as a timely guide for PhD students and researchers looking to apply modern machine learning methods to complex quantum problems.
The book was created by 29 contributors — from PhD students to professors — representing more than ten countries, providing a diverse perspective on this rapidly developing field. It originated from the Summer School on Machine Learning for Quantum Physics and Chemistry, held in 2021 at the Faculty of Physics, University of Warsaw, within the Excellence Initiative – Research University (2020–2026). It began as lecture notes, but thanks to the initiative of Anna Dawid — then a PhD student, now a professor — along with Professor Michał Tomza and the collaborative, grassroots effort of an international team of scientists, it evolved into a full-fledged book.
Faculty of Physics of the University of Warsaw
Physics and astronomy at the University of Warsaw appeared in 1816 as part of the then Faculty of Philosophy. In 1825, the Astronomical Observatory was established. Currently, the Faculty of Physics at the University of Warsaw consists of the following institutes: Experimental Physics, Theoretical Physics, Geophysics, the Department of Mathematical Methods in Physics, and the Astronomical Observatory. The research covers almost all areas of modern physics on scales from quantum to cosmological. The Faculty's research and teaching staff consists of over 250 academic teachers. About 1,100 students and over 170 doctoral students study at the Faculty of Physics UW. The University of Warsaw is among the 300 best universities in the world, educating in the field of physics according to Shanghai’s Global Ranking of Academic Subjects.
SCIENTIFIC PUBLICATION:
A. Dawid, J. Arnold, B. Requena, A. Gresch, M. Płodzień, K. Donatella, K. A. Nicoli, P. Stornati, R. Koch, M. Büttner, R. Okuła, G. Muñoz-Gil, R. A. Vargas-Hernández, A. Cervera-Lierta, J. Carrasquilla, V. Dunjko, M. Gabrié, P. Huembeli, E. van Nieuwenburg, F. Vicentini, L. Wang, S. J. Wetzel, G. Carleo, E. Greplová, R. Krems, F. Marquardt, M. Tomza, M. Lewenstein, A. Dauphin, Machine Learning in Quantum Sciences, Cambridge University Press, June 2025.
DOI 10.1017/9781009504942
https://www.cambridge.org/us/universitypress/subjects/physics/quantum-physics-quantum-information-and-quantum-computation/machine-learning-quantum-sciences?format=HB&isbn=9781009504935
CONTACT:
Prof. dr hab. Michał Tomza
Faculty of Physics, University of Warsaw
e-mail michal.tomza@fuw.edu.pl
phone +48 55 32 972
Dr. Anna M. Dawid-Lekowska
Universiteit Leiden
Phone +31 71 527 2727
END
New book: Machine Learning in Quantum Sciences
2025-06-09
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