Sebastian Feld is an assistant professor at Delft University of Technology, The Netherlands, where his research focuses on quantum computing architecture and applications. His group develops scalable quantum computing architectures while exploring ways to leverage these systems for real-world challenges. On the architecture side, he works to optimize quantum circuit design and multi-core systems for more efficient computation. On the application side, he investigates quantum algorithms to address complex problems like optimization and planning, effectively bridging the gap between advanced hardware development and practical quantum applications. Previously, he led the Quantum Applications and Research Laboratory (QAR-Lab) at LMU Munich, concentrating on quantum-assisted artificial intelligence and optimization problems. He earned his doctorate from LMU Munich with research in time series analysis.