Aritra Sarkar is a senior researcher at Fujitsu Research, India. He was a postdoctoral researcher within QuTech's Quantum Machine Learning research group at Delft University of Technology, Netherlands. His master's and doctorate at TU Delft's Department of Quantum & Computer Engineering focused on the synergy between algorithmic information theory and quantum computer architecture. His current research involves automation in quantum programming and compilation.
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.
Akash Kundu is a postdoctoral researcher at HelTeq, University of Helsinki, Finland, in the group of Sabrina Maniscalco. His research focuses on the intersection of classical machine learning and quantum computing, leveraging near-term quantum hardware and beyond with advanced ML methods, especially in the context of quantum architecture search.