Sebastian Feld
About
Sebastian Feld is an assistant professor at Delft University of Technology, Netherlands. He is part of the Quantum & Computer Engineering department, where he and his group are working on Quantum Machine Learning. The overall goal is to investigate how quantum technology might help creating near-term quantum applications, but also how machine learning techniques may assist with developing scalable quantum devices. Before, he was head of Quantum Applications and Research Laboratory (QAR-Lab) at LMU Munich. His main focus as a postdoctoral researcher was on optimization problems and the application of quantum-assisted artificial intelligence. He earned his doctorate from LMU Munich working on time series analysis.
Publications
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2024
Besnake
A Routing Algorithm for Scalable Spin-Qubit Architectures
Nikiforos Paraskevopoulos / Carmen G. Almudever / Sebastian Feld -
2024
KetGPT – Dataset Augmentation of Quantum Circuits Using Transformers
Boran Apak / Medina Bandic / Aritra Sarkar / Sebastian Feld
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2024
Quantum Data Management
From Theory to Opportunities
Rihan Hai / Shih Han Hung / Sebastian Feld -
2024
Quantum computing and tensor networks for laminate design
A novel approach to stacking sequence retrieval
Arne Wulff / Boyang Chen / Matthew Steinberg / Yinglu Tang / Matthias Möller / Sebastian Feld -
2024
SATQUBOLIB
A Python Framework for Creating and Benchmarking (Max-)3SAT QUBOs
Sebastian Zielinski / Magdalena Benkard / Jonas Nüßlein / Claudia Linnhoff-Popien / Sebastian Feld -