| 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 | 52* | 2023 |
| Quantum simulation of parity–time symmetry breaking with a superconducting quantum processor S Dogra, AA Melnikov, GS Paraoanu Communications Physics 4 (1), 26, 2021 | 48 | 2021 |
| Practical application-specific advantage through hybrid quantum computing M Perelshtein, A Sagingalieva, K Pinto, V Shete, A Pakhomchik, ... arXiv preprint arXiv:2205.04858, 2022 | 37 | 2022 |
| Quantum state preparation using tensor networks AA Melnikov, AA Termanova, SV Dolgov, F Neukart, MR Perelshtein Quantum Science and Technology 8 (3), 035027, 2023 | 31 | 2023 |
| Solving Large‐Scale Linear Systems of Equations by a Quantum Hybrid Algorithm (Ann. Phys. 7/2022). MR Perelshtein, AI Pakhomchik, AA Melnikov, AA Novikov, A Glatz, ... Annalen der Physik 534 (7), 2022 | 30* | 2022 |
| TetraFEM: Numerical Solution of Partial Differential Equations Using Tensor Train Finite Element Method E Kornev, S Dolgov, M Perelshtein, A Melnikov Mathematics 12 (20), 3277, 2024 | 12* | 2024 |
| Tetra-AML: automatic machine learning via tensor networks A Naumov, A Melnikov, V Abronin, F Oxanichenko, K Izmailov, M Pflitsch, ... arXiv preprint arXiv:2303.16214, 2023 | 11 | 2023 |
| NISQ-compatible approximate quantum algorithm for unconstrained and constrained discrete optimization MR Perelshtein, AI Pakhomchik, AA Melnikov, M Podobrii, A Termanova, ... Quantum 7, 1186, 2023 | 8 | 2023 |
| Protein-protein docking using a tensor train black-box optimization method D Morozov, A Melnikov, V Shete, M Perelshtein arXiv preprint arXiv:2302.03410, 2023 | 8 | 2023 |
| Optimization of chemical mixers design via tensor trains and quantum computing N Belokonev, A Melnikov, M Podapaka, K Pinto, M Pflitsch, M Perelshtein arXiv preprint arXiv:2304.12307, 2023 | 5 | 2023 |
| Comparison between tensor networks and variational quantum classifier G Laskaris, AA Melnikov, MR Perelshtein, R Brasher, T Baeck, F Neukart arXiv preprint arXiv:2311.15663, 2023 | 4 | 2023 |
| Tensor quantum programming A Termanova, A Melnikov, E Mamenchikov, N Belokonev, S Dolgov, ... New Journal of Physics 26 (12), 123019, 2024 | 3 | 2024 |
| TQCompressor: improving tensor decomposition methods in neural networks via permutations V Abronin, A Naumov, D Mazur, D Bystrov, K Tsarova, A Melnikov, ... 2024 IEEE 7th International Conference on Multimedia Information Processing …, 2024 | 3 | 2024 |
| Tensor networks based quantum optimization algorithm V Akshay, A Melnikov, A Termanova, MR Perelshtein arXiv preprint arXiv:2404.15048, 2024 | 1 | 2024 |
Michael R. PerelshteinAalto University, Terra Quantum AG確認したメール アドレス: aalto.fi