Summer School: Machine Learning in Quantum Physics and Chemistry
20 08 2021
From 24 August to 3 September this year, the Ochota Campus will host the Summer School: Machine Learning in Quantum Physics and Chemistry for PhD students and young researchers organised under the IDUB programme.
Lectures will be given by distinguished scientists from centres such as École Polytechnique Fédérale de Lausanne, University of British Columbia in Vancouver, Max Planck Institute for the Science of Light in Erlangen, Chinese Academy of Sciences in Beijing, University of Florida and many others. Thanks to an attractive scientific offer, the school met with great interest. The organising committee, led by Dr Michał Tomza and PhD student Anna Dawid-Łękowska from the Faculty of Physics of the University of Warsaw, supported by scientists from ICFO – Institute of Photonics in Barcelona, Spain, received more than 200 applications from five continents, from which the scientific committee selected 90 participants from more than 15 countries. The school will be held in a hybrid version with half the participants on-site and half remotely. Topics covered in the school include machine learning methods applied to quantum science, in particular: supervised and unsupervised machine learning applied to numerically simulated and experimental data, Gaussian processes in quantum dynamics, reinforcement learning in quantum physics, quantum state representation inspired by machine learning, interpretable machine learning and more. A live webcast of the school will be available to the entire scientific community on YouTube.