84 citations · 334 across the 26 of their papers we have counts for
26 papers
Active movement of foraging sea turtles generates anomalous looping
Vijay Kumar, Vladimir V. Palyulin, Perla Roman-Torres +2
Animals inhabiting diverse environments by moving across different spatial scales, from insects to birds, marine predators, mammals and even humans, often display apparently random…
Parametrized-circuit-free quantum regression with variance regularization
Yerassyl Balkybek, Andrey Kardashin, Vladimir V. Palyulin +1
Quantum regression tasks for predicting properties of quantum states are commonly addressed using variational quantum algorithms. While variational quantum circuits are highly expr…
Distributed quantum architecture search using multi-agent reinforcement learning
Mikhail Sergeev, Georgii Paradezhenko, Daniil Rabinovich +1
Quantum architecture search (QAS) automates the design of parameterized quantum circuits for variational quantum algorithms. The framework finds a well-suited problem-specific stru…
Electric Currents for Discrete Data Generation
Alexander Kolesov, Stepan Manukhov, Vladimir V. Palyulin +1
We propose lectric urrent iscrete ata eneration (ECDG), a pioneering method for data generation in discrete settin…
Interaction Field Matching: Overcoming Limitations of Electrostatic Models
Stepan I. Manukhov, Alexander Kolesov, Vladimir V. Palyulin +1
Electrostatic field matching (EFM) has recently appeared as a novel physics-inspired paradigm for data generation and transfer using the idea of an electric capacitor. However, it…
Color Transfer with Modulated Flows
Maria Larchenko, Alexander Lobashev, Dmitry Guskov +1
In this work, we introduce Modulated Flows (ModFlows), a novel approach for color transfer between images based on rectified flows. The primary goal of the color transfer is to adj…
Field Matching: an Electrostatic Paradigm to Generate and Transfer Data
Alexander Kolesov, Manukhov Stepan, Vladimir V. Palyulin +1
We propose Electrostatic Field Matching (EFM), a novel method that is suitable for both generative modeling and distribution transfer tasks. Our approach is inspired by the physics…
Diffusion of fast and slow excitons with an exchange in quasi-two-dimensional systems
Oluwafemi P. Adejumobi, Vladimir N. Mantsevich, Vladimir V. Palyulin
By means of analytical calculations and numerical simulations we study the diffusion properties in quasi-two-dimensional structures with two exciton subsystems with an exchange bet…
Predicting properties of quantum systems by regression on a quantum computer
Andrey Kardashin, Yerassyl Balkybek, Vladimir V. Palyulin +1
Quantum computers can be considered as a natural means for performing machine learning tasks for inherently quantum labeled data. Many quantum machine learning techniques have been…
Application of machine learning technique for a fast forecast of aggregation kinetics in space-inhomogeneous systems
M. A. Larchenko, R. R. Zagidullin, V. V. Palyulin +1
Modeling of aggregation processes in space-inhomogeneous systems is extremely numerically challenging since complicated aggregation equations -- Smoluchowski equations are to be so…
Negative diffusion of excitons in quasi-two-dimensional systems
Alerksandr A. Kurilovich, Vladimir N. Mantsevich, Aleksey V. Chechkin +1
We show how two different mobile-immobile type models explain the observation of negative diffusion of excitons reported in experimental studies in quasi-two-dimensional semiconduc…
Conformations and dynamics of active star polymers
Prabha Chuphal, Vladimir V. Palyulin
We study conformations and dynamics of active star polymers. The analysis shows that active star polymers stretching behaviour is quite different from that of active linear chains.…
Gradient dynamics in reinforcement learning
Riccardo Fabbricatore, Vladimir V. Palyulin
Despite the success achieved by the analysis of supervised learning algorithms in the framework of statistical mechanics, reinforcement learning has remained largely untouched. Her…
A study of first-passage time minimization via Q-learning in heated gridworlds
M. A. Larchenko, P. Osinenko, G. Yaremenko +1
Optimization of first-passage times is required in applications ranging from nanobots navigation to market trading. In such settings, one often encounters unevenly distributed nois…
Complex diffusion-based kinetics of photoluminescence in semiconductor nanoplatelets
Aleksandr A. Kurilovich, Vladimir N. Mantsevich, Keith J. Stevenson +2
We present a diffusion-based simulation and theoretical models for explanation of photoluminescence (PL) emission intensity in semiconductor nanoplatelets. It is shown that the sha…
Scaling up the lattice dynamics of amorphous materials by orders of magnitude
Ivan Kriuchevskyi, Vladimir V. Palyulin, Rico Milkus +3
We generalise the non-affine theory of viscoelasticity for use with large, well-sampled systems of arbitrary chemical complexity. Having in mind predictions of mechanical and vibra…
First-passage and first-hitting times of Levy flights and Levy walks
V. V. Palyulin, G. Blackburn, M. A. Lomholt +4
For both Levy flight and Levy walk search processes we analyse the full distribution of first-passage and first-hitting (or first-arrival) times. These are, respectively, the times…
Interpretation of the vibrational spectra of glassy polymers using coarse-grained simulations
Rico Milkus, Christopher Ness, Vladimir V. Palyulin +3
The structure and vibrational density of states (VDOS) of polymer glasses are investigated using numerical simulations based on the classical Kremer-Grest bead-spring model. We foc…
Parameter-free predictions of the viscoelastic response of glassy polymers from non-affine lattice dynamics
Vladimir V. Palyulin, Christopher Ness, Rico Milkus +3
We study the viscoelastic response of amorphous polymers using theory and simulations. By accounting for internal stresses and considering instantaneous normal modes (INMs) within…
Comparison of pure and combined search strategies for single and multiple targets
V. V. Palyulin, Vladimir N. Mantsevich, R. Klages +2
We address the generic problem of random search for a point-like target on a line. Using the measures of search reliability and efficiency to quantify the random search quality, we…
Nonmonotonic dependence of polymer glass mechanical response on chain bending stiffness
Christopher Ness, Vladimir V. Palyulin, Rico Milkus +3
We investigate the mechanical properties of amorphous polymers by means of coarse-grained simulations and nonaffine lattice dynamics theory. A small increase of polymer chain bendi…
Search reliability and search efficiency of combined Lévy-Brownian motion: long relocations mingled with thorough local exploration
V. V. Palyulin, A. V. Chechkin, R. Klages +1
A combined dynamics consisting of Brownian motion and Lévy flights is exhibited by a variety of biological systems performing search processes. Assessing the search reliability of…
Optimization of random search processes in the presence of an external bias
Vladimir V. Palyulin, Aleksei V. Chechkin, Ralf Metzler
We study the efficiency of random search processes based on L{é}vy flights with power-law distributed jump lengths in the presence of an external drift, for instance, an underwater…
Speeding up the first-passage for subdiffusion by introducing a finite potential barrier
Vladimir Palyulin, Ralf Metzler
We show that for a subdiffusive continuous time random walk with scale-free waiting time distribution the first-passage dynamics on a finite interval can be optimised by introducti…