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Sebastian Feld is an assistant professor at Delft University of Technology in the Netherlands, specifically working within the Quantum & Computer Engineering department and focusing on Quantum Machine Learning. His overarching goal is to explore quantum technology that aids in the creation of near-term quantum applications, using machine learning techniques to assist in the development of scalable quantum devices. He previously led the Quantum Applications Research Laboratory (QAR-Lab) at LMU Munich, where his main research focus as a postdoctoral researcher centered on optimization problems related to quantum-assisted artificial intelligence. He earned his doctorate at LMU Munich, specializing in time series analysis, which further underlines his expertise in applying advanced analysis techniques in quantum-related fields.
Delft University of Technology • Delft, Netherlands
Involved in research and teaching within the Quantum & Computer Engineering department, focusing on quantum machine learning.
Ludwig Maximilian University of Munich • Munich, Germany
Led research on optimization problems in quantum-assisted artificial intelligence at the QAR-Lab.
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