Eliška Greplová

Eliška Greplová serves as an associate professor at the Kavli Institute of Nanoscience and leads the Quantum Matter and AI group at Delft University of Technology, where she pioneers research at the intersection of quantum computing, artificial intelligence, and condensed matter physics. After completing her PhD at Aarhus University under Klaus Mølmer's supervision and postdoctoral research at ETH Zurich in Sebastian Huber's group, she established herself as a leading figure in quantum technology innovation. Her research portfolio includes groundbreaking work in developing algorithmic methods for quantum computing experiments, applying AI to understand complex condensed matter physics phenomena, and implementing emergent condensed matter phenomena in quantum devices. As a member of the World Economic Forum's Council on Future of Quantum Economy and former Visiting Researcher at Microsoft AI4Science, she brings a unique perspective to quantum technology development. Her group has secured significant funding, including a 5 million EUR Kavli Institute Innovation Award and NWO Quantum Delta funding, while making substantial contributions to quantum education through initiatives like the EdX course on Machine Learning for Semiconductor Quantum Devices. Her most influential work includes developing unsupervised identification methods for topological phase transitions, adversarial Hamiltonian learning techniques for quantum dots, and new approaches for quantifying non-stabilizerness in quantum circuits, establishing her as a pioneering force in bridging quantum computing with artificial intelligence.