Workshop in Machine Learning and Many-Body Physics at KITS

The Kavli Institute for Theoretical Sciences at the University of Chinese Acadamy of Sciences presents "Machine Learning and Many-Body Physics", a summer school and workshop.
The central questions addressed in this workshop are "How is machine learning useful for physics/chemistry ?" and "How can physicists/chemists help with the development of machine learning ?". In particular, we will touch on the following topics:

  • Conceptual connections of machine learning and many-body physics
  • Machine learning techniques for solving many-body physics/chemistry problems
  • Statistical and quantum physics perspectives on machine learning
  • Quantum algorithms and quantum hardwares for machine learning

See link to workshop webpage.