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)

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)

Forecasting the steam mass flow in a powerplant using the parallel hybrid network. - Andrii Kurkin; Jonas Hegemann; Mohammad Kordzanganeh; Alexey Melnikov 003 (CoRR, 2023)

A supervised hybrid quantum machine learning solution to the emergency escape routing problem. - Nathan Haboury; Mohammad Kordzanganeh; Sebastian Schmitt; Ayush Joshi; Igor Tokarev; Lukas Abdallah; Andrii Kurkin; Basil Kyriacou; 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)