| Hybrid quantum neural network for drug response prediction A Sagingalieva, M Kordzanganeh, N Kenbayev, D Kosichkina, ... Cancers 15 (10), 2705, 2023 | 43 | 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 | 33 | 2022 |
| 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 | 30 | 2024 |
| 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 | 30 | 2022 |
| 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 | 28 | 2023 |
| 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 | 13 | 2023 |
| Quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes A Sedykh, M Podapaka, A Sagingalieva, N Smertyak, K Pinto, M Pflitsch, ... | 12 | 2023 |
| Forty thousand kilometers under quantum protection NS Kirsanov, VA Pastushenko, AD Kodukhov, MV Yarovikov, ... Scientific Reports 13 (1), 8756, 2023 | 8 | 2023 |
| Hybrid quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes A Sedykh, M Podapaka, A Sagingalieva, K Pinto, M Pflitsch, A Melnikov Machine Learning: Science and Technology 5 (2), 025045, 2024 | 2 | 2024 |
| Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis L Lusnig, A Sagingalieva, M Surmach, T Protasevich, O Michiu, ... Diagnostics 14 (5), 558, 2024 | 2 | 2024 |
| Photovoltaic power forecasting using quantum machine learning A Sagingalieva, S Komornyik, A Senokosov, A Joshi, A Sedykh, ... arXiv preprint arXiv:2312.16379, 2023 | 2 | 2023 |
| Long-distance quantum key distribution N Kirsanov, N Kenbaev, D Kronberg, V Vinokur, G Lesovik, P Sekatski, ... US Patent App. 17/675,256, 2022 | 1 | 2022 |
| Adaptive algorithms of error correction and error estimation in quantum cryptography AB Sagingalieva, DA Kronberg AIP Conference Proceedings 2362 (1), 2021 | 1 | 2021 |
| Long-distance quantum key distribution based on the physical loss control NS Kirsanov, NR Kenbaev, AB Sagingalieva, DA Kronberg, VM Vinokur, ... arXiv preprint arXiv:2105.00035, 2021 | 1 | 2021 |
| Hybrid quantum cycle generative adversarial network for small molecule generation M Anoshin, A Sagingalieva, C Mansell, D Zhiganov, V Shete, M Pflitsch, ... IEEE Transactions on Quantum Engineering, 2024 | | 2024 |
| Hybrid Quantum Image Classification and Federated Learning for Hepatic Steatosis Diagnosis. Diagnostics 2024, 14, 558 L Lusnig, A Sagingalieva, M Surmach, T Protasevich, O Michiu, ... | | 2024 |
| Method and system for quantum key distribution G Lesovik, D Kronberg, A Kodukhov, V Pastushenko, N Kenbayev, ... US Patent 11,818,258, 2023 | | 2023 |
| Front Cover: Benchmarking Simulated and Physical Quantum Processing Units Using Quantum and Hybrid Algorithms (Adv. Quantum Technol. 8/2023) M Kordzanganeh, M Buchberger, B Kyriacou, M Povolotskii, W Fischer, ... Advanced Quantum Technologies 6 (8), 2370081, 2023 | | 2023 |
| Method for determining a quantum communication setup, quantum communication setup, computer program, and data processing system N Kenbaev, A Sagingalieva, P Sekatski, A Melnikov US Patent App. 17/822,517, 2023 | | 2023 |
Alexey MelnikovTerra Quantum AG, SwitzerlandVerified email at terraquantum.swiss
