Artem Melnikov

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 7

Top Topics

Training Support Vector Machines

Quantum Computing

Discrete Optimization

Top Venues

Quantum Mach. Intell.

Publications

V. Abronin, A. Naumov, D. Mazur, D. Bystrov, K. Tsarova, Artem Melnikov, Ivan V. Oseledets, Sergey Dolgov, R. Brasher, Michael Perelshtein
TQCompressor: improving tensor decomposition methods in neural networks via permutations. CoRR (2024)
Egor Kornev, Sergey Dolgov, Karan Pinto, Markus Pflitsch, Michael Perelshtein, Artem Melnikov
Numerical solution of the incompressible Navier-Stokes equations for chemical mixers via quantum-inspired Tensor Train Finite Element Method. 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)
A. Naumov, Artem Melnikov, V. Abronin, F. Oxanichenko, K. Izmailov, Markus Pflitsch, A. Melnikov, Michael Perelshtein
Tetra-AML: Automatic Machine Learning via Tensor Networks. CoRR (2023)
Michael Perelshtein, Alexey I. Pakhomchik, Artem Melnikov, M. Podobrii, A. Termanova, I. Kreidich, B. Nuriev, Sergei Iudin, C. W. Mansell, Valerii M. Vinokur
NISQ-compatible approximate quantum algorithm for unconstrained and constrained discrete optimization. Quantum 7 (2023)
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)
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)