Projective simulation applied to the grid-world and the mountain-car problem. - Alexey A. Melnikov 001; Adi Makmal; Hans J. Briegel (Artif. Intell. Res., 2014)

Projective simulation with generalization. - Alexey A. Melnikov 001; Adi Makmal; Vedran Dunjko; Hans J. Briegel (CoRR, 2015)

Meta-learning within Projective Simulation. - Adi Makmal; Alexey A. Melnikov 001; Vedran Dunjko; Hans J. Briegel (IEEE Access, 2016)

Active learning machine learns to create new quantum experiments. - Alexey A. Melnikov 001; Hendrik Poulsen Nautrup; Mario Krenn; Vedran Dunjko; Markus Tiersch; Anton Zeilinger; Hans J. Briegel (CoRR, 2017)

Benchmarking Projective Simulation in Navigation Problems. - Alexey A. Melnikov 001; Adi Makmal; Hans J. Briegel (IEEE Access, 2018)

Detecting quantum speedup by quantum walk with convolutional neural networks. - Alexey A. Melnikov 001; Leonid Fedichkin; Alexander Alodjants (CoRR, 2019)

Machine learning for long-distance quantum communication. - Julius Wallnöfer; Alexey A. Melnikov 001; Wolfgang Dür; Hans J. Briegel (CoRR, 2019)

Machine learning transfer efficiencies for noisy quantum walks. - Alexey A. Melnikov 001; Leonid Fedichkin; Ray-Kuang Lee; Alexander Alodjants (CoRR, 2020)

Setting up experimental Bell test with reinforcement learning. - Alexey A. Melnikov 001; Pavel Sekatski; Nicolas Sangouard (CoRR, 2020)

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)

Capturing Symmetries of Quantum Optimization Algorithms Using Graph Neural Networks. - Ajinkya Deshpande; Alexey A. Melnikov 001 (Symmetry, 2022)

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

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)

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 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)

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)

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)

Method for noise-induced regularization in quantum neural networks. - Wilfrid Somogyi; Ekaterina Pankovets; Viacheslav Kuzmin; Alexey Melnikov 003 (CoRR, 2024)

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

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

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)

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)