collaborators

8 papers

cond-mat.stat-mech2026

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…

quant-ph2026

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…

cs.LG2026

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…

quant-ph2025

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…

cs.LG2025

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…

cs.LG2025

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…