5 citations · 5 across the 1 of their papers we have counts for
5 papers
Neural network agent playing spin Hamiltonian games on a quantum computer
Oleg M. Sotnikov, Vladimir V. Mazurenko
Quantum computing is expected to provide new promising approaches for solving the most challenging problems in material science, communication, search, machine learning and other d…
Quantum Nanoskyrmions
O. M. Sotnikov, V. V. Mazurenko, J. Colbois +3
Skyrmions in condensed matter physics appear as classical topological spin structures. This nontrivial state can be obtained solving the corresponding micromagnetic model, where th…
Profile approach for recognition of three-dimensional magnetic structures
I. A. Iakovlev, O. M. Sotnikov, V. V. Mazurenko
We propose an approach for low-dimensional visualisation and classification of complex topological magnetic structures formed in magnetic materials. Within the approach one convert…
Supervised learning magnetic skyrmion phases
I. A. Iakovlev, O. M. Sotnikov, V. V. Mazurenko
We propose and apply simple machine learning approaches for recognition and classification of complex non-collinear magnetic structures in two-dimensional materials. The first appr…
Monte Carlo study of magnetic nanoparticles adsorbed on halloysite nanotubes
O. M. Sotnikov, V. V. Mazurenko, A. A. Katanin
We study properties of magnetic nanoparticles adsorbed on the halloysite surface. For that a distinct magnetic Hamiltonian with random distribution of spins on a cylindrical surfac…