The Summer School: Machine Learning in Quantum Physics and Chemistry will gather Ph.D. students and young researchers interested in applying machine learning methods in quantum sciences. It will be held in Warsaw (Poland) at the Biological and Chemical Research Centre of the University of Warsaw, 24 August – 3 September 2021. The school has a hybrid format. The school fee in the case of the in-person participation: 250 EUR.
The topics of the summer school include:
- supervised and unsupervised machine learning applied to simulated and experimental data
- Gaussian processes in quantum dynamics
- reinforcement learning in quantum physics
- machine-learning representation of quantum states
- quantum machine learning
- interpretable machine learning
- statistical mechanics in learning theory
- tensor networks
- Giuseppe Carleo (École Polytechnique Fédérale de Lausanne)
- Juan Carrasquilla (Vector Institute for Artificial Intelligence, Toronto)
- Eliška Greplová (Technische Universiteit Delft)
- Roman Krems (University of British Columbia, Vancouver)
- Florian Marquardt (Max Planck Institute for the Science of Light, Erlangen)
- Alba Cervera-Lierta (University of Toronto)
- Vedran Dunjko with Sofiène Jerbi (Universiteit Leiden)
- Marylou Gabrié (Flatiron Institute, New York)
- Patrick Huembeli (École Polytechnique Fédérale de Lausanne)
- Evert van Nieuwenburg (Niels Bohr International Academy)
- Filippo Vicentini (École Polytechnique Fédérale de Lausanne)
- Lei Wang (Chinese Academy of Sciences, Beijing)
- Sebastian Wetzel (Perimeter Institute, Waterloo)
We also plan hands-on sessions as well as poster and contributing speakers sessions.
The Summer School: Machine Learning in Quantum Physics and Chemistry is co-financed by the “Excellence Initiative – Research University (2020-2026)” program, within the IV.4.2. action “International summer schools for Ph.D. students and young researchers”.
The conference dinner is sponsored by the Dean of the Faculty of Physics at the University of Warsaw.
Moreover, Machine Learning: Science and Technology, a multidisciplinary open-access journal, funded three awards for the three best posters.
- 1st award: Open Access full waiver for publication in MLST
- 2nd and 3rd award: £250 cash prize