Eliska is an assistant professor and a group leader at Kavli Institute of Nanoscience at Delft University of Technology in the Netherlands. She leads the "Quantum Matter and AI" group working at the intersection of quantum technologies, artificial intelligence and condensed matter physics.
Eliska also serves on the World Economic Forum’s Council on Future of Quantum Economy. Previously, Eliska worked as a Visiting Researcher at Microsoft AI4Science. Eliska completed her postdoctoral fellowship at ETH Zurich in Switzerland and obtained her PhD at Aarhus University in Denmark.
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Dive into the world of quantum computing with our exclusive course on Machine Learning for Semiconductor Quantum Devices. This course is designed for those interested in leveraging artificial intelligence to overcome challenges in controlling and calibrating semiconductor-based quantum computers, a key frontier in modern technology.
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Embark on a journey to understand the intricacies of Germanium Quantum Technologies. This course will guide you through the physics behind these revolutionary qubits, their manufacturing processes, control methods, and real-world applications. You'll also discover how machine learning can optimize performance and delve into quantum error correction and algorithm development.