QWebinar | Understanding quantum matter using intelligent machines | 18:00 (CET), Wed, Feb 10, 2021

From Eliška:

“Quantum systems constitute an excellent platform to study many phenomena that are too complex to be approached otherwise. We expect the study and control of quantum matter to lead to a better understanding of a range of phenomena from complex chemical reactions to advanced nano materials. Both control and design of such quantum systems however come with many challenges due to their incredible complexity. In this talk I explain how artificial intelligence (AI) is helping us with these challenges on two examples: On one hand we can employ AI as a helper for discovery of new phases of matter, on the other it can also take over complex experimental control tasks such that our quantum devices can perform at their best.”

About Eliška:

Eliška is an assistant professor at Kavli Institute of Nanoscience at Delft University of Technology in the Netherlands. She is also a member of World Economic Forum’s Global Future Council on Quantum Applications. Eliška works at the boundary of quantum computing, artificial intelligence and condensed matter physics. Eliška obtained her undergraduate degree at CTU Prague in Czech Republic, masters at LMU Munich in Germany, PhD at Aarhus University in Denmark and postdoctoral fellowship at ETH Zürich in Switzerland.