Asel Sagingalieva

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 11

Top Topics

Forecast Models

Image Classification

Quantum Computing

Top Venues

Mach. Learn. Sci. Technol.

Quantum Mach. Intell.

Publications

Matvei Anoshin, Asel Sagingalieva, Christopher Mansell, Vishal Shete, Markus Pflitsch, Alexey Melnikov
Hybrid quantum cycle generative adversarial network for small molecule generation. CoRR (2024)
Arsenii Senokosov, Alexander Sedykh, Asel Sagingalieva, Basil Kyriacou, Alexey Melnikov
Quantum machine learning for image classification. Mach. Learn. Sci. Technol. 5 (1) (2024)
Arsenii Senokosov, Alexander Sedykh, Asel Sagingalieva, Alexey Melnikov
Quantum machine learning for image classification. CoRR (2023)
Alexander Sedykh, Maninadh Podapaka, Asel Sagingalieva, Nikita Smertyak, Karan Pinto, Markus Pflitsch, Alexey Melnikov
Quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes. CoRR (2023)
Asel Sagingalieva, Mohammad Kordzanganeh, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Perelshtein, Alexey Melnikov, Andrea Skolik, David Von Dollen
Hybrid quantum ResNet for car classification and its hyperparameter optimization. Quantum Mach. Intell. 5 (2) (2023)
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
Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis. CoRR (2023)
Asel Sagingalieva, Stefan Komornyik, Arsenii Senokosov, Ayush Joshi, Alexander Sedykh, Christopher Mansell, Olga Tsurkan, Karan Pinto, Markus Pflitsch, Alexey Melnikov
Photovoltaic power forecasting using quantum machine learning. CoRR (2023)
Asel Sagingalieva, Mohammad Kordzanganeh, Nurbolat Kenbayev, Daria Kosichkina, Tatiana Tomashuk, Alexey Melnikov
Hybrid quantum neural network for drug response prediction. CoRR (2022)
Asel Sagingalieva, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Perelshtein, Alexey Melnikov, Andrea Skolik, David Von Dollen
Hyperparameter optimization of hybrid quantum neural networks for car classification. CoRR (2022)
Mohammad Kordzanganeh, Markus Buchberger, Maxim Povolotskii, Wilhelm Fischer, Andrii Kurkin, Wilfrid Somogyi, Asel Sagingalieva, Markus Pflitsch, Alexey Melnikov
Benchmarking simulated and physical quantum processing units using quantum and hybrid algorithms. CoRR (2022)
Michael Perelshtein, Asel Sagingalieva, Karan Pinto, Vishal Shete, Alexey I. Pakhomchik, Artem Melnikov, Florian Neukart, Georg Gesek, Alexey Melnikov, Valerii M. Vinokur
Practical application-specific advantage through hybrid quantum computing. CoRR (2022)