Alexey Melnikov

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Hans J BriegelProfessor of Theoretical Physics, University of InnsbruckVerified email at uibk.ac.at
Asel SagingalievaTerra Quantum AGVerified email at terraquantum.swiss
Mo KordzanganehTerra Quantum AGVerified email at terraquantum.swiss
Vedran DunjkoLeiden UniversityVerified email at liacs.leidenuniv.nl
Adi MakmalThe Engineering Faculty, Bar Ilan University, IsraelVerified email at biu.ac.il
Ray-Kuang LeeNational Tsing Hua UniversityVerified email at ee.nthu.edu.tw
Michael R. PerelshteinAalto University, Terra Quantum AGVerified email at aalto.fi
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
Pavel SekatskiSenior scientist, University of GenevaVerified email at unige.ch
Nicolas SangouardCEAVerified email at cea.fr
Wolfgang DürProfessor of Theoretical Physics, University of InnsbruckVerified email at uibk.ac.at
Andrea SkolikQuantum Computing Scientist at QuiX QuantumVerified email at quixquantum.com
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
Nurbolat KenbayevVerified email at liacs.leidenuniv.nl
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	327	2018
Machine learning for long-distance quantum communication J Wallnöfer, AA Melnikov, W Dür, HJ Briegel PRX Quantum 1 (1), 010301, 2020	107	2020
Projective simulation with generalization AA Melnikov, A Makmal, V Dunjko, HJ Briegel Scientific reports 7 (1), 14430, 2017	51	2017
Dissociation and annihilation of multipartite entanglement structure in dissipative quantum dynamics SN Filippov, AA Melnikov, M Ziman Physical Review A 88 (6), 062328, 2013	50	2013
Quantum walks of interacting fermions on a cycle graph AA Melnikov, LE Fedichkin Scientific reports 6 (1), 34226, 2016	48	2016
Coherent controlization using superconducting qubits N Friis, AA Melnikov, G Kirchmair, HJ Briegel Scientific reports 5 (1), 18036, 2015	48	2015
Quantum Machine Learning: from physics to software engineering A Melnikov, M Kordzanganeh, A Alodjants, RK Lee Advances in Physics: X 8 (1), 2165452, 2023	46	2023
Setting up experimental Bell tests with reinforcement learning AA Melnikov, P Sekatski, N Sangouard Physical Review Letters 125 (16), 160401, 2020	45	2020
Predicting quantum advantage by quantum walk with convolutional neural networks AA Melnikov, LE Fedichkin, A Alodjants New Journal of Physics 21 (12), 125002, 2019	45	2019
Meta-learning within projective simulation A Makmal, AA Melnikov, V Dunjko, HJ Briegel IEEE Access 4, 2110-2122, 2016	39	2016
Hybrid quantum ResNet for car classification and its hyperparameter optimization A Sagingalieva, M Kordzanganeh, A Kurkin, A Melnikov, D Kuhmistrov, ... Quantum Machine Intelligence 5 (2), 38, 2023	33*	2023
Hybrid quantum neural network for drug response prediction A Sagingalieva, M Kordzanganeh, N Kenbayev, D Kosichkina, ... Cancers 15 (10), 2705, 2023	32	2023
Practical application-specific advantage through hybrid quantum computing M Perelshtein, A Sagingalieva, K Pinto, V Shete, A Pakhomchik, ... arXiv preprint arXiv:2205.04858, 2022	28	2022
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 simulated and physical quantum processing units using quantum and hybrid algorithms M Kordzanganeh, M Buchberger, B Kyriacou, M Povolotskii, W Fischer, ... Advanced Quantum Technologies 6 (8), 2300043, 2023	22	2023
Machine learning transfer efficiencies for noisy quantum walks AA Melnikov, LE Fedichkin, RK Lee, A Alodjants Advanced Quantum Technologies 3 (4), 1900115, 2020	22	2020
Benchmarking projective simulation in navigation problems AA Melnikov, A Makmal, HJ Briegel IEEE Access 6, 64639-64648, 2018	21	2018
Quantum machine learning for image classification A Senokosov, A Sedykh, A Sagingalieva, B Kyriacou, A Melnikov Machine Learning: Science and Technology 5 (1), 015040, 2024	20	2024
Quantum algorithms applied to satellite mission planning for Earth observation S Rainjonneau, I Tokarev, S Iudin, S Rayaprolu, K Pinto, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023	20	2023
An exponentially-growing family of universal quantum circuits M Kordzanganeh, P Sekatski, L Fedichkin, A Melnikov Machine Learning: Science and Technology 4 (3), 035036, 2023	14	2023

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