Asel Sagingalieva

According to our database, Asel Sagingalieva authored at least 16 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circuit Mixer.

Mateusz Papierz, Asel Sagingalieva, Alix Benoit, Toni Ivas, Elia Iseli, Alexey Melnikov

CoRR, April, 2026

Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials on organic and inorganic compounds.

G. Laskaris, D. Morozov, D. Tarpanov, A. Seth, J. Procelewska, G. Sai Gautam, Asel Sagingalieva, Reuben Brasher, Artem Melnikov

CoRR, February, 2026

A Fast and Generalizable Fourier Neural Operator-Based Surrogate for Melt-Pool Prediction in Laser Processing.

Alix Benoit, Toni Ivas, Mateusz Papierz, Asel Sagingalieva, Alexey Melnikov, Elia Iseli

CoRR, February, 2026

2025

Predictive control of blast furnace temperature in steelmaking with hybrid depth-infused quantum neural networks.

Nayoung Lee, Minsoo Shin, Asel Sagingalieva, Ayush Joshi Tripathi, Karan Pinto, Alexey Melnikov

CoRR, April, 2025

2024

Quantum machine learning for image classification.

Arsenii Senokosov, Alexander Sedykh, Asel Sagingalieva, Basil Kyriacou, Alexey Melnikov

Mach. Learn. Sci. Technol., March, 2024

Hybrid quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes.

Alexandr Sedykh, Maninadh Podapaka, Asel Sagingalieva, Karan Pinto, Markus Pflitsch, Alexey Melnikov

Mach. Learn. Sci. Technol., 2024

Hybrid quantum cycle generative adversarial network for small molecule generation.

Matvei Anoshin, Asel Sagingalieva, Christopher Mansell, Vishal Shete, Markus Pflitsch, Alexey Melnikov

CoRR, 2024

2023

Hybrid quantum ResNet for car classification and its hyperparameter optimization.

Asel Sagingalieva, Mohammad Kordzanganeh, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Perelshtein, Alexey Melnikov, Andrea Skolik, David Von Dollen

Quantum Mach. Intell., December, 2023

Photovoltaic power forecasting using quantum machine learning.

Asel Sagingalieva, Stefan Komornyik, Arsenii Senokosov, Ayush Joshi, Alexander Sedykh, Christopher Mansell, Olga Tsurkan, Karan Pinto, Markus Pflitsch, Alexey Melnikov

CoRR, 2023

Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis.

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

CoRR, 2023

Quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes.

Alexander Sedykh, Maninadh Podapaka, Asel Sagingalieva, Nikita Smertyak, Karan Pinto, Markus Pflitsch, Alexey Melnikov

CoRR, 2023

Quantum machine learning for image classification.

Arsenii Senokosov, Alexander Sedykh, Asel Sagingalieva, Alexey Melnikov

CoRR, 2023

2022

Benchmarking simulated and physical quantum processing units using quantum and hybrid algorithms.

Mohammad Kordzanganeh, Markus Buchberger, Maxim Povolotskii, Wilhelm Fischer, Andrii Kurkin, Wilfrid Somogyi, Asel Sagingalieva, Markus Pflitsch, Alexey Melnikov

CoRR, 2022

Hybrid quantum neural network for drug response prediction.

Asel Sagingalieva, Mohammad Kordzanganeh, Nurbolat Kenbayev, Daria Kosichkina, Tatiana Tomashuk, Alexey Melnikov

CoRR, 2022

Hyperparameter optimization of hybrid quantum neural networks for car classification.

Asel Sagingalieva, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Perelshtein, Alexey Melnikov, Andrea Skolik, David Von Dollen

CoRR, 2022

Practical application-specific advantage through hybrid quantum computing.

Michael Perelshtein, Asel Sagingalieva, Karan Pinto, Vishal Shete, Alexey I. Pakhomchik, Artem Melnikov, Florian Neukart, Georg Gesek, Alexey Melnikov, Valerii M. Vinokur

CoRR, 2022