Alexey Melnikov

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 18

Top Topics

Image Classification

Quantum Computing

Top Venues

Mach. Learn. Sci. Technol.

Quantum Mach. Intell.

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

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)
Nathan Haboury, Mohammad Kordzanganeh, Sebastian Schmitt, Ayush Joshi, Igor Tokarev, Lukas Abdallah, Andrii Kurkin, Basil Kyriacou, Alexey Melnikov
A supervised hybrid quantum machine learning solution to the emergency escape routing problem. CoRR (2023)
Mohammad Kordzanganeh, Pavel Sekatski, Leonid Fedichkin, Alexey Melnikov
An exponentially-growing family of universal quantum circuits. Mach. Learn. Sci. Technol. 4 (3) (2023)
Serge Rainjonneau, Igor Tokarev, Sergei Iudin, Saaketh Rayaprolu, Karan Pinto, Daria Lemtiuzhnikova, Miras Koblan, Egor Barashov, Mohammad Kordzanganeh, Markus Pflitsch, Alexey Melnikov
Quantum Algorithms Applied to Satellite Mission Planning for Earth Observation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Andrii Kurkin, Jonas Hegemann, Mohammad Kordzanganeh, Alexey Melnikov
Forecasting the steam mass flow in a powerplant using the parallel hybrid network. CoRR (2023)
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)
Mohammad Kordzanganeh, Daria Kosichkina, Alexey Melnikov
Parallel Hybrid Networks: an interplay between quantum and classical neural networks. CoRR (2023)
Serge Rainjonneau, Igor Tokarev, Sergei Iudin, Saaketh Rayaprolu, Karan Pinto, Daria Lemtiuzhnikova, Miras Koblan, Egor Barashov, Mohammad Kordzanganeh, Markus Pflitsch, Alexey Melnikov
Quantum algorithms applied to satellite mission planning for Earth observation. 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)
Mohammad Kordzanganeh, Pavel Sekatski, Leonid Fedichkin, Alexey Melnikov
An exponentially-growing family of universal quantum circuits. 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)