Topics

ML for chemistry and materials discovery

ML for the development of quantum computers

ML and quantum for industrial applications

Quantum learning algorithms

Machine Learning for Quantum X aims to bring together students, researchers and industry professionals working at the interface of quantum science and machine learning. It will bridge physics, chemistry, applied mathematics, and computing, exploring how results and techniques from different fields can be used to solve problems of the others.

See the program

Speakers

Alexander Eisfeld (MPIPKS Dresden, DE)
Mario Krenn (University of Toronto, CA)
Jochen Küpper (DESY & Hamburg University, DE)
Anna Leonteva (University of Strasbourg, FR)
Alba Cervera Lierta (University of Toronto, CA)
Anatole von Lilienfeld (University of Vienna, AT)

Simone Montangero (Università di Padova, IT)
Michael Overdick (SICK GmbH, DE)
Peter Pinski (HQS Quantum Simulations GmbH, DE)
Edoardo Tignone (LEITHA’ SRL, IT)
Benoit Vermersch (University of Grenoble-Alpes, FR)

Click here for the program

Organisation

“Local” organisers
Pascal Friederich (Karlsruhe Institute of Technology)
Shannon Whitlock (University of Strasbourg)

 

Contact info@quantumexcellence.org

Programme committee
Mario Ruben, Karlsruhe Institute of Technology
Wolfgang Wernsdorfer, Karlsruhe Institute of Technology
Pierre Collet, University of Strasbourg
Guido Pupillo, University of Strasbourg

Student Organisers

Jean-Gabriel Hartmann (Unistra)
Denis Jankovic (KIT & Unistra)

Patrick Lawes (KIT-IQMT)
Sai Prasanna Kumar Panguluri (KIT-IQMT)

This conference is organised as part of a collaboration between the University of Strasbourg in France and Karlsruhe Institute of Technology in Germany. It is financially supported by Eucor – The European Campus and the Franco-German University under project NBV-29-20-I

Other supporting partners