84 citations · 334 across the 26 of their papers we have counts for
5 papers · 1 filter
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…