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Alexey Melnikov 0003
Person information
- affiliation: Terra Quantum AG, St. Gallen, Switzerland
- affiliation (former): QMware AG, Rorschach, Switzerland
- affiliation (PhD 2018): University of Innsbruck, Institute for Theoretical Physics, Austria
Other persons with the same name
- Alexey Melnikov 0001 — Isode Ltd., Hampton, UK
- Alexey Melnikov 0002 — Tomsk State University, Russia
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2020 – today
- 2024
- [j8]Arsenii Senokosov
, Alexander Sedykh
, Asel Sagingalieva
, Basil Kyriacou
, Alexey Melnikov
:
Quantum machine learning for image classification. Mach. Learn. Sci. Technol. 5(1): 15040 (2024) - [i23]Matvei Anoshin, Asel Sagingalieva, Christopher Mansell, Vishal Shete, Markus Pflitsch, Alexey Melnikov:
Hybrid quantum cycle generative adversarial network for small molecule generation. CoRR abs/2402.00014 (2024) - 2023
- [j7]Mohammad Kordzanganeh
, Pavel Sekatski
, Leonid Fedichkin
, Alexey Melnikov
:
An exponentially-growing family of universal quantum circuits. Mach. Learn. Sci. Technol. 4(3): 35036 (2023) - [j6]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): 1-15 (2023) - [j5]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: 7062-7075 (2023) - [i22]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 abs/2302.07181 (2023) - [i21]Mohammad Kordzanganeh, Daria Kosichkina, Alexey Melnikov:
Parallel Hybrid Networks: an interplay between quantum and classical neural networks. CoRR abs/2303.03227 (2023) - [i20]Arsenii Senokosov, Alexander Sedykh, Asel Sagingalieva, Alexey Melnikov:
Quantum machine learning for image classification. CoRR abs/2304.09224 (2023) - [i19]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 abs/2304.11247 (2023) - [i18]Andrii Kurkin, Jonas Hegemann, Mohammad Kordzanganeh, Alexey Melnikov:
Forecasting the steam mass flow in a powerplant using the parallel hybrid network. CoRR abs/2307.09483 (2023) - [i17]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 abs/2307.15682 (2023) - [i16]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 abs/2311.02402 (2023) - [i15]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 abs/2312.16379 (2023) - 2022
- [j4]Ajinkya Deshpande
, Alexey A. Melnikov
:
Capturing Symmetries of Quantum Optimization Algorithms Using Graph Neural Networks. Symmetry 14(12): 2593 (2022) - [i14]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 abs/2205.04858 (2022) - [i13]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 abs/2205.04878 (2022) - [i12]Asel Sagingalieva, Mohammad Kordzanganeh, Nurbolat Kenbayev, Daria Kosichkina, Tatiana Tomashuk, Alexey Melnikov
:
Hybrid quantum neural network for drug response prediction. CoRR abs/2211.05777 (2022) - [i11]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 abs/2211.15631 (2022) - [i10]Mohammad Kordzanganeh, Pavel Sekatski, Leonid Fedichkin, Alexey Melnikov
:
An exponentially-growing family of universal quantum circuits. CoRR abs/2212.00736 (2022) - 2020
- [i9]Alexey A. Melnikov, Leonid Fedichkin, Ray-Kuang Lee, Alexander Alodjants:
Machine learning transfer efficiencies for noisy quantum walks. CoRR abs/2001.05472 (2020) - [i8]Alexey A. Melnikov, Pavel Sekatski, Nicolas Sangouard:
Setting up experimental Bell test with reinforcement learning. CoRR abs/2005.01697 (2020)
2010 – 2019
- 2019
- [i7]Alexey A. Melnikov, Leonid Fedichkin, Alexander Alodjants:
Detecting quantum speedup by quantum walk with convolutional neural networks. CoRR abs/1901.10632 (2019) - [i6]Julius Wallnöfer, Alexey A. Melnikov, Wolfgang Dür, Hans J. Briegel:
Machine learning for long-distance quantum communication. CoRR abs/1904.10797 (2019) - 2018
- [j3]Alexey A. Melnikov
, Adi Makmal, Hans J. Briegel
:
Benchmarking Projective Simulation in Navigation Problems. IEEE Access 6: 64639-64648 (2018) - [i5]Alexey A. Melnikov, Adi Makmal, Hans J. Briegel:
Benchmarking projective simulation in navigation problems. CoRR abs/1804.08607 (2018) - 2017
- [i4]Alexey A. Melnikov, Hendrik Poulsen Nautrup, Mario Krenn, Vedran Dunjko, Markus Tiersch, Anton Zeilinger, Hans J. Briegel:
Active learning machine learns to create new quantum experiments. CoRR abs/1706.00868 (2017) - 2016
- [j2]Adi Makmal, Alexey A. Melnikov
, Vedran Dunjko
, Hans J. Briegel:
Meta-learning within Projective Simulation. IEEE Access 4: 2110-2122 (2016) - [i3]Adi Makmal, Alexey A. Melnikov, Vedran Dunjko, Hans J. Briegel:
Meta-learning within Projective Simulation. CoRR abs/1602.08017 (2016) - 2015
- [i2]Alexey A. Melnikov, Adi Makmal, Vedran Dunjko, Hans J. Briegel:
Projective simulation with generalization. CoRR abs/1504.02247 (2015) - 2014
- [j1]Alexey A. Melnikov
, Adi Makmal, Hans J. Briegel:
Projective simulation applied to the grid-world and the mountain-car problem. Artif. Intell. Res. 3(3): 24-34 (2014) - [i1]Alexey A. Melnikov, Adi Makmal, Hans J. Briegel:
Projective simulation applied to the grid-world and the mountain-car problem. CoRR abs/1405.5459 (2014)
Coauthor Index
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last updated on 2024-06-10 21:26 CEST by the dblp team
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