quantum machine learning,
artificial intelligence in physics,
physics-inspired reinforcement 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)
A. A. Melnikov, A. P. Alodjants, L. E. Fedichkin, “Tunneling in Double-Layer Optical Waveguides as Quantum Walks on Graphs”, Trudy Mat. Inst. Steklova, 313 (2021), 154–160; Proc. Steklov Inst. Math., 313 (2021), 142–148
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