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 003; Valerii M. Vinokur (CoRR, 2022)

Hyperparameter optimization of hybrid quantum neural networks for car classification. - Asel Sagingalieva; Andrii Kurkin; Artem Melnikov; Daniil Kuhmistrov; Michael Perelshtein; Alexey Melnikov 003; Andrea Skolik; David Von Dollen (CoRR, 2022)

Hybrid quantum neural network for drug response prediction. - Asel Sagingalieva; Mohammad Kordzanganeh; Nurbolat Kenbayev; Daria Kosichkina; Tatiana Tomashuk; Alexey Melnikov 003 (CoRR, 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 003 (CoRR, 2022)

Quantum machine learning for image classification. - Arsenii Senokosov; Alexander Sedykh; Asel Sagingalieva; Alexey Melnikov 003 (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 003 (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 003; Fabio Cavalli (CoRR, 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 003 (CoRR, 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 003; Andrea Skolik; David Von Dollen (Quantum Mach. Intell., 2023)

Hybrid quantum cycle generative adversarial network for small molecule generation. - Matvei Anoshin; Asel Sagingalieva; Christopher Mansell; Vishal Shete; Markus Pflitsch; Alexey Melnikov 003 (CoRR, 2024)

Quantum machine learning for image classification. - Arsenii Senokosov; Alexander Sedykh; Asel Sagingalieva; Basil Kyriacou; Alexey Melnikov 003 (Mach. Learn. Sci. Technol., 2024)

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 003 (CoRR, 2025)