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)

Parallel Hybrid Networks: an interplay between quantum and classical neural networks. - Mohammad Kordzanganeh; Daria Kosichkina; Alexey Melnikov 003 (CoRR, 2023)

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)

Quantum Algorithms Applied to Satellite Mission Planning for Earth Observation. - Serge Rainjonneau; Igor Tokarev; Sergei Iudin; Saaketh Rayaprolu; Karan Pinto; Daria Lemtiuzhnikova; Miras Koblan; Egor Barashov; Mohammad Kordzanganeh; Markus Pflitsch; Alexey Melnikov 003 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

An exponentially-growing family of universal quantum circuits. - Mohammad Kordzanganeh; Pavel Sekatski; Leonid Fedichkin; Alexey Melnikov 003 (Mach. Learn. Sci. Technol., 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)

Pixel-wise RL on Diffusion Models: Reinforcement Learning from Rich Feedback. - Mo Kordzanganeh; Danial Keshvary; Nariman Arian (CoRR, 2024)

Information plane and compression-gnostic feedback in quantum machine learning. - Nathan Haboury; Mo Kordzanganeh; Alexey Melnikov 003; Pavel Sekatski (CoRR, 2024)

Forecasting steam mass flow in power plants using the parallel hybrid network. - Andrii Kurkin; Jonas Hegemann; Mo Kordzanganeh; Alexey Melnikov 003 (Eng. Appl. Artif. Intell., 2025)

TQml Simulator: Optimized Simulation of Quantum Machine Learning. - Viacheslav Kuzmin; Basil Kyriacou; Mateusz Papierz; Mo Kordzanganeh; Alexey Melnikov 003 (CoRR, 2025)

Superposed Parameterised Quantum Circuits. - Viktoria Patapovich; Mo Kordzanganeh; Alexey Melnikov 003 (CoRR, 2025)