◦ developed new quantum-physics-inspired machine learning methods
◦ created an artificial intelligence algorithm that autonomously learns to design quantum experiments and discovers new experimental techniques
◦ contributed to the progress of quantum machine learning
Main publications:
Active learning machine learns to create new quantum experiments. Alexey A. Melnikov, Hendrik Poulsen Nautrup, Mario Krenn, Vedran Dunjko, Markus Tiersch, Anton Zeilinger, Hans J. Briegel. Proceedings of the National Academy of Sciences 115 (6), 1221–1226 (2018)
