Book
Machine Learning in Quantum Sciences
Cambridge University Press has published a new book co-authored by researchers from Leiden University, 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.
- Author
- Anna Dawid-Lekowska
- Date
- 16 June 2025
- Links
- More information
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 — ranging from PhD students to senior professors — across more than ten countries, offering a rich and diverse perspective on a rapidly evolving field. It originated from the Summer School on Machine Learning for Quantum Physics and Chemistry, held in 2021 at the University of Warsaw. What began as a set of lecture notes grew into a full-fledged book thanks to the initiative of Anna Dawid — then a PhD student, now an assistant professor at LIACS and LION — and the collaborative, grassroots effort of an international team of scientists, including Vedran Dunjko and Evert van Nieuwenburg.