New book: Machine Learning in Quantum Sciences
2025-06-05
Cambridge University Press has published a new book 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.