Publications : Machine Learning

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On training a classifier of hitting times for quantum walks

AIP Conference Proceedings 2241, 020029 (2020)
Alexey A. Melnikov, Leonid E. Fedichkin, Alexander Alodjants
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Setting up experimental Bell tests with reinforcement learning

Physical Review Letters 125 (16), 160401 (2020)
Alexey A. Melnikov, Pavel Sekatski, Nicolas Sangouard
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Machine learning transfer efficiencies for noisy quantum walks

Advanced Quantum Technologies 3 (4), 1900115 (2020)
Alexey A. Melnikov, Leonid E. Fedichkin, Ray-Kuang Lee, Alexander Alodjants
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Predicting quantum advantage by quantum walk with convolutional neural networks

New Journal of Physics 21 (12), 125002 (2019)
Alexey A. Melnikov, Leonid E. Fedichkin, Alexander Alodjants
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Machine learning for long-distance quantum communication

PRX Quantum 1 (1), 010301 (2020)
Julius Wallnöfer, Alexey A. Melnikov, Wolfgang Dür, Hans J. Briegel
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Benchmarking projective simulation in navigation problems

IEEE Access 6, 64639-64648 (2018)
Alexey A. Melnikov, Adi Makmal, Hans J. Briegel
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Active learning machine learns to create new quantum experiments

Proceedings of the National Academy of Sciences 115 (6), 1221–1226 (2018)
Alexey A. Melnikov, Hendrik Poulsen Nautrup, Mario Krenn, Vedran Dunjko, Markus Tiersch, Anton Zeilinger, Hans J. Briegel
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Projective simulation with generalization

Scientific Reports 7, 14430 (2017)
Alexey A. Melnikov, Adi Makmal, Vedran Dunjko, Hans J. Briegel
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Meta-learning within projective simulation

IEEE Access 4, 2110–2122 (2016)
Adi Makmal, Alexey A. Melnikov, Vedran Dunjko, Hans J. Briegel
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Projective simulation applied to the grid-world and the mountain-car problem

Artificial Intelligence Research 3 (3), 24-34 (2014)
Alexey A. Melnikov, Adi Makmal, Hans J. Briegel
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