39 citations · 119 across the 21 of their papers we have counts for
6 papers · 1 filter
Artificial stochastic neural network on the base of double quantum wells
O. V. Pavlovsky, V. I. Dorozhinsky, S. D. Mostovoy
We consider a model of an artificial neural network based on quantum-mechanical particles in potential. These particles play the role of neurons in our model. To simulate such…
The Relativistic one dimensional Coulomb problem and Relativistic PIMC method
A. Ivanov, O. Pavlovsky
The Relativistic one dimensional Coulomb problem was studied by means of the Path Integral Monte Carlo method. Relativistic and non-relativistic regimes of this problem were invest…
Artificial Quantum Neural Network: quantum neurons, logical elements and tests of convolutional nets
V. I. Dorozhinsky, O. V. Pavlovsky
We consider a model of an artificial neural network that uses quantum-mechanical particles in a two-humped potential as a neuron. To simulate such a quantum-mechanical system the M…
Path Integral Monte-Carlo Calculations for Relativistic Oscillator
Alexandr Ivanov, Oleg Pavlovsky
The problem of Relativistic Oscillator has been studied in the framework of Path Integral Monte-Carlo(PIMC) approach. Ultra-relativistic and non-relativistic limits have been discu…
Path Integral Monte-Carlo method for relativistic quantum systems
Oleg Pavlovsky, Alexander Ivanov, Alexander Novoselov
Relativistic generalization of Path Integral Monte-Carlo method has been proposed and some possible applications have been discussed.
Monte-Carlo calculation of the lateral Casimir forces between rectangular gratings within the formalism of lattice quantum field theory
Oleg Pavlovsky, Maxim Ulybyshev
We propose a new Monte-Carlo method for calculation of the Casimir forces. Our method is based on the formalism of noncompact lattice quantum electrodynamics. This approach has bee…