Michael Perelshtein

According to our database, Michael Perelshtein authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

TQCompressor: improving tensor decomposition methods in neural networks via permutations.

V. Abronin, A. Naumov, D. Mazur, D. Bystrov, K. Tsarova, Artem Melnikov, Ivan V. Oseledets, Sergey Dolgov, R. Brasher, Michael Perelshtein

CoRR, 2024

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, Andrea Skolik, David Von Dollen

Quantum Mach. Intell., December, 2023

NISQ-compatible approximate quantum algorithm for unconstrained and constrained discrete optimization.

Michael Perelshtein, Alexey I. Pakhomchik, Artem Melnikov, M. Podobrii, A. Termanova, I. Kreidich, B. Nuriev, Sergei Iudin, C. W. Mansell, Valerii M. Vinokur

Quantum, November, 2023

Numerical solution of the incompressible Navier-Stokes equations for chemical mixers via quantum-inspired Tensor Train Finite Element Method.

Egor Kornev, Sergey Dolgov, Karan Pinto, Markus Pflitsch, Michael Perelshtein, Artem Melnikov

CoRR, 2023

Tetra-AML: Automatic Machine Learning via Tensor Networks.

A. Naumov, Artem Melnikov, V. Abronin, F. Oxanichenko, K. Izmailov, Markus Pflitsch, A. Melnikov, Michael Perelshtein

CoRR, 2023

A Hybrid Quantum-Classical Approach to the Electric Mobility Problem.

Margarita Veshchezerova, Mikhail Somov, David Bertsche, Steffen Limmer, Sebastian Schmitt, Michael Perelshtein, Ayush Joshi Tripathi

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022

Do we live in a [quantum] simulation? Constraints, observations, and experiments on the simulation hypothesis.

Florian Neukart, Anders Indset, Markus Pflitsch, Michael Perelshtein

CoRR, 2022

Hyperparameter optimization of hybrid quantum neural networks for car classification.

Asel Sagingalieva, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Perelshtein, Alexey Melnikov, Andrea Skolik, David Von Dollen

CoRR, 2022

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, Valerii M. Vinokur

CoRR, 2022