Asel Sagingalieva

15 papers Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Fast and Generalizable Fourier Neural Operator-Based Surrogate for Melt-Pool Prediction in Laser Processing. CoRR Alix Benoit, Toni Ivas, Mateusz Papierz, Asel Sagingalieva, Alexey Melnikov, Elia Iseli
2026	J	`jnl`	Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials on organic and inorganic compounds. CoRR G. Laskaris, D. Morozov, D. Tarpanov, A. Seth, J. Procelewska, G. Sai Gautam, Asel Sagingalieva, Reuben Brasher, Artem Melnikov
2025	J	`jnl`	Predictive control of blast furnace temperature in steelmaking with hybrid depth-infused quantum neural networks. CoRR Nayoung Lee, Minsoo Shin, Asel Sagingalieva, Ayush Joshi Tripathi, Karan Pinto, Alexey Melnikov
2024	J	`jnl`	Hybrid quantum cycle generative adversarial network for small molecule generation. CoRR Matvei Anoshin, Asel Sagingalieva, Christopher Mansell, Vishal Shete, Markus Pflitsch, Alexey Melnikov
2024	J	`jnl`	Hybrid quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes. Mach. Learn. Sci. Technol. Alexandr Sedykh, Maninadh Podapaka, Asel Sagingalieva, Karan Pinto, Markus Pflitsch, Alexey Melnikov
2024	J	`jnl`	Quantum machine learning for image classification. Mach. Learn. Sci. Technol. Arsenii Senokosov, Alexander Sedykh, Asel Sagingalieva, Basil Kyriacou, Alexey Melnikov
2023	J	`jnl`	Hybrid quantum ResNet for car classification and its hyperparameter optimization. Quantum Mach. Intell. Asel Sagingalieva, Mohammad Kordzanganeh, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Perelshtein, Alexey Melnikov, Andrea Skolik, David Von Dollen
2023	J	`jnl`	Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis. CoRR Luca Lusnig, Asel Sagingalieva, Mikhail Surmach, Tatjana Protasevich, Ovidiu Michiu, Joseph McLoughlin, Christopher Mansell, Graziano de' Petris, Deborah Bonazza, Fabrizio Zanconati, Alexey Melnikov, Fabio Cavalli
2023	J	`jnl`	Photovoltaic power forecasting using quantum machine learning. CoRR Asel Sagingalieva, Stefan Komornyik, Arsenii Senokosov, Ayush Joshi, Alexander Sedykh, Christopher Mansell, Olga Tsurkan, Karan Pinto, Markus Pflitsch, Alexey Melnikov
2023	J	`jnl`	Quantum machine learning for image classification. CoRR Arsenii Senokosov, Alexander Sedykh, Asel Sagingalieva, Alexey Melnikov
2023	J	`jnl`	Quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes. CoRR Alexander Sedykh, Maninadh Podapaka, Asel Sagingalieva, Nikita Smertyak, Karan Pinto, Markus Pflitsch, Alexey Melnikov
2022	J	`jnl`	Benchmarking simulated and physical quantum processing units using quantum and hybrid algorithms. CoRR Mohammad Kordzanganeh, Markus Buchberger, Maxim Povolotskii, Wilhelm Fischer, Andrii Kurkin, Wilfrid Somogyi, Asel Sagingalieva, Markus Pflitsch, Alexey Melnikov
2022	J	`jnl`	Hybrid quantum neural network for drug response prediction. CoRR Asel Sagingalieva, Mohammad Kordzanganeh, Nurbolat Kenbayev, Daria Kosichkina, Tatiana Tomashuk, Alexey Melnikov
2022	J	`jnl`	Hyperparameter optimization of hybrid quantum neural networks for car classification. CoRR Asel Sagingalieva, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Perelshtein, Alexey Melnikov, Andrea Skolik, David Von Dollen
2022	J	`jnl`	Practical application-specific advantage through hybrid quantum computing. CoRR Michael Perelshtein, Asel Sagingalieva, Karan Pinto, Vishal Shete, Alexey I. Pakhomchik, Artem Melnikov, Florian Neukart, Georg Gesek, Alexey Melnikov, Valerii M. Vinokur