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Alexey Melnikov
Alexey Melnikov
Terra Quantum AG, Switzerland
Verified email at terraquantum.swiss - Homepage
Title
Cited by
Cited by
Year
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
2802018
Machine learning for long-distance quantum communication
J Wallnöfer, AA Melnikov, W Dür, HJ Briegel
PRX Quantum 1 (1), 010301, 2020
782020
Dissociation and annihilation of multipartite entanglement structure in dissipative quantum dynamics
SN Filippov, AA Melnikov, M Ziman
Physical Review A 88 (6), 062328, 2013
472013
Projective simulation with generalization
AA Melnikov, A Makmal, V Dunjko, HJ Briegel
Scientific reports 7 (1), 1-14, 2017
462017
Quantum walks of interacting fermions on a cycle graph
AA Melnikov, LE Fedichkin
Scientific reports 6 (1), 1-13, 2016
462016
Coherent controlization using superconducting qubits
N Friis, AA Melnikov, G Kirchmair, HJ Briegel
Scientific reports 5 (1), 1-11, 2015
442015
Predicting quantum advantage by quantum walk with convolutional neural networks
AA Melnikov, LE Fedichkin, A Alodjants
New Journal of Physics 21 (12), 125002, 2019
372019
Meta-learning within projective simulation
A Makmal, AA Melnikov, V Dunjko, HJ Briegel
IEEE Access 4, 2110-2122, 2016
352016
Setting up experimental Bell tests with reinforcement learning
AA Melnikov, P Sekatski, N Sangouard
Physical Review Letters 125 (16), 160401, 2020
322020
Projective simulation applied to the grid-world and the mountain-car problem
AA Melnikov, A Makmal, HJ Briegel
arXiv preprint arXiv:1405.5459, 2014
252014
Benchmarking projective simulation in navigation problems
AA Melnikov, A Makmal, HJ Briegel
IEEE Access 6, 64639-64648, 2018
192018
Machine learning transfer efficiencies for noisy quantum walks
AA Melnikov, LE Fedichkin, RK Lee, A Alodjants
Advanced Quantum Technologies 3 (4), 1900115, 2020
182020
Practical application-specific advantage through hybrid quantum computing
M Perelshtein, A Sagingalieva, K Pinto, V Shete, A Pakhomchik, ...
arXiv preprint arXiv:2205.04858, 2022
152022
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
142022
Hybrid quantum neural network for drug response prediction
A Sagingalieva, M Kordzanganeh, N Kenbayev, D Kosichkina, ...
Cancers 15 (10), 2705, 2023
102023
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
92016
Quantum error correction in silicon charge qubits
AA Melnikov, LE Fedichkin
Russian Microelectronics 42 (3), 148-154, 2013
92013
Quantum Machine Learning: from physics to software engineering
A Melnikov, M Kordzanganeh, A Alodjants, RK Lee
Advances in Physics: X 8 (1), 2165452, 2023
82023
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
82022
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
82013
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