Alexey Melnikov

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Leonid FedichkinMoscow Institute of Physics and TechnologyVerified email at phystech.edu
Hans J BriegelProfessor of Theoretical Physics, University of InnsbruckVerified email at uibk.ac.at
Vedran DunjkoLeiden UniversityVerified email at liacs.leidenuniv.nl
Adi MakmalThe Engineering Faculty, Bar Ilan University, IsraelVerified email at biu.ac.il
Asel SagingalievaTerra Quantum AGVerified email at terraquantum.swiss
Mo KordzanganehTerra Quantum AGVerified email at terraquantum.swiss
Mario KrennMax Planck Institute for the Science of LightVerified email at mpl.mpg.de
Anton ZeilingerUniversity of ViennaVerified email at univie.ac.at
Hendrik Poulsen NautrupUniversität InnsbruckVerified email at uibk.ac.at
Ray-Kuang LeeNational Tsing Hua UniversityVerified email at ee.nthu.edu.tw
Michael R. PerelshteinAalto University, Terra Quantum AGVerified email at aalto.fi
Pavel SekatskiSenior scientist, University of GenevaVerified email at unige.ch
Nicolas SangouardCEAVerified email at cea.fr
Wolfgang DürAssociate Professor of Theoretical Physics, University of InnsbruckVerified email at uibk.ac.at
Artem A. MelnikovTerra Quantum AGVerified email at terraquantum.swiss
Mario ZimanInstitute of Physics, Slovak Academy of Sciences, BratislavaVerified email at savba.sk
Sergey FilippovAlgorithmiqVerified email at algorithmiq.fi
Gerhard KirchmairUniv. Prof. University of InnsbruckVerified email at uibk.ac.at
Nicolai FriisInstitute of Atomic and Subatomic Physics (Atominstitut), TU WienVerified email at tuwien.ac.at
Florian NeukartAsst. ProfessorVerified email at umail.leidenuniv.nl

Alexey Melnikov

Terra Quantum AG, Switzerland

Verified email at terraquantum.swiss - Homepage

Quantum machine learning Quantum information theory Artificial intelligence


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Active learning machine learns to create new quantum experiments AA Melnikov, HP Nautrup, M Krenn, V Dunjko, M Tiersch, A Zeilinger, ... Proceedings of the National Academy of Sciences 115 (6), 1221-1226, 2018	280	2018
Machine learning for long-distance quantum communication J Wallnöfer, AA Melnikov, W Dür, HJ Briegel PRX Quantum 1 (1), 010301, 2020	78	2020
Dissociation and annihilation of multipartite entanglement structure in dissipative quantum dynamics SN Filippov, AA Melnikov, M Ziman Physical Review A 88 (6), 062328, 2013	47	2013
Projective simulation with generalization AA Melnikov, A Makmal, V Dunjko, HJ Briegel Scientific reports 7 (1), 1-14, 2017	46	2017
Quantum walks of interacting fermions on a cycle graph AA Melnikov, LE Fedichkin Scientific reports 6 (1), 1-13, 2016	46	2016
Coherent controlization using superconducting qubits N Friis, AA Melnikov, G Kirchmair, HJ Briegel Scientific reports 5 (1), 1-11, 2015	44	2015
Predicting quantum advantage by quantum walk with convolutional neural networks AA Melnikov, LE Fedichkin, A Alodjants New Journal of Physics 21 (12), 125002, 2019	37	2019
Meta-learning within projective simulation A Makmal, AA Melnikov, V Dunjko, HJ Briegel IEEE Access 4, 2110-2122, 2016	35	2016
Setting up experimental Bell tests with reinforcement learning AA Melnikov, P Sekatski, N Sangouard Physical Review Letters 125 (16), 160401, 2020	32	2020
Projective simulation applied to the grid-world and the mountain-car problem AA Melnikov, A Makmal, HJ Briegel arXiv preprint arXiv:1405.5459, 2014	25	2014
Benchmarking projective simulation in navigation problems AA Melnikov, A Makmal, HJ Briegel IEEE Access 6, 64639-64648, 2018	19	2018
Machine learning transfer efficiencies for noisy quantum walks AA Melnikov, LE Fedichkin, RK Lee, A Alodjants Advanced Quantum Technologies 3 (4), 1900115, 2020	18	2020
Practical application-specific advantage through hybrid quantum computing M Perelshtein, A Sagingalieva, K Pinto, V Shete, A Pakhomchik, ... arXiv preprint arXiv:2205.04858, 2022	15	2022
Hyperparameter optimization of hybrid quantum neural networks for car classification A Sagingalieva, A Kurkin, A Melnikov, D Kuhmistrov, M Perelshtein, ... arXiv preprint arXiv:2205.04878, 2022	14	2022
Hybrid quantum neural network for drug response prediction A Sagingalieva, M Kordzanganeh, N Kenbayev, D Kosichkina, ... Cancers 15 (10), 2705, 2023	10	2023
Continuous-time quantum walk of two interacting fermions on a cycle graph AA Melnikov, LE Fedichkin International Conference on Micro-and Nano-Electronics 2016 10224, 677-682, 2016	9	2016
Quantum error correction in silicon charge qubits AA Melnikov, LE Fedichkin Russian Microelectronics 42 (3), 148-154, 2013	9	2013
Quantum Machine Learning: from physics to software engineering A Melnikov, M Kordzanganeh, A Alodjants, RK Lee Advances in Physics: X 8 (1), 2165452, 2023	8	2023
Benchmarking simulated and physical quantum processing units using quantum and hybrid algorithms M Kordzanganeh, M Buchberger, M Povolotskii, W Fischer, A Kurkin, ... arXiv preprint arXiv:2211.15631, 2022	8	2022
Measure of decoherence in quantum error correction for solid-state quantum computing AA Melnikov, LE Fedichkin International Conference Micro-and Nano-Electronics 2012 8700, 472-482, 2013	8	2013

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