https://ubc.zoom.us/j/68470173961?pwd=RTZEak9Pd01WajVOZHN5SW5YZHcyQT09

Meeting ID: 684 7017 3961
Passcode: 113399

Speaker: Eliska Greplova, Assistant professor at the Department of Quantum Nanoscience at Delft University of Technology

Abstract: The fields of condensed matter, artificial intelligence and quantum computing have independently experienced a number of breakthroughs in the last decade. In this talk, I am going provide an illustration of their mutually beneficial overlaps and emerging interdisciplinary applications. Specifically, I am going to show how AI-motivated ansätze for quantum wave functions can help us solve complex problems in topological condensed matter physics. The emergent topological modes can in turn redefine a figure of merit for design of quantum devices – that, to close the circle – give rise to challenging control problems that can be efficiently solved with the help of machine learning algorithms.

Bio: Eliska is an assistant professor at Kavli Institute of Nanoscience, Delft University of Technology, Netherlands. She is leading Quantum Matter and AI group, where she works at the boundary of quantum computing, artificial intelligence and condensed matter physics. Prior to joining TU Delft, Eliska completed her PhD at Aarhus University in Denmark and postdoctoral fellowship at ETH Zürich in Switzerland. Eliska is a member of World Economic Forum Global Future Council on Quantum Computing and co-founder of an open science platform Virtual Science Forum.