activity
20132023
most citedExperimental neural network enhanced quantum tomography

175 citations · 1k across the 41 of their papers we have counts for

collaborators

41 papers

quant-ph2023

Quantum-enhanced policy iteration on the example of a mountain car

Egor E. Nuzhin, Dmitry Yudin

Advances in the experimental demonstration of quantum processors have provoked a surge of interest in the idea of practical implementation of quantum computing over last years. It…

physics.class-ph2023

Time-space bi-fractional drift-diffusion equation for anomalous electrochemical transport

Anis Allagui, Georgii Paradezhenko, Anastasiia Pervishko +2

The Debye-Falkenhagen differential equation is commonly used as a mean-field macroscopic model for describing electrochemical ionic drift and diffusion in dilute binary electrolyte…

quant-ph2023

Tensor train optimization of parametrized quantum circuits

Georgii Paradezhenko, Anastasiia Pervishko, Dmitry Yudin

We examine a particular realization of derivative-free method as implemented on tensor train based optimization to the variational quantum eigensolver. As an example, we consider p…

cond-mat.mtrl-sci2023

Fractional Marcus-Hush-Chidsey-Yakopcic current-voltage model for redox-based resistive memory devices

Georgii Paradezhenko, Dmitrii Prodan, Anastasiia Pervishko +2

We propose a circuit-level model combining the Marcus-Hush-Chidsey electron current equation and the Yakopcic equation for the state variable for describing resistive switching mem…

cond-mat.mtrl-sci2022★ 1 cited

An ab initio approach to anisotropic alloying into the Si(001) surface

D. V. Prodan, G. V. Paradezhenko, D. Yudin +1

Employing density functional theory calculations we explore initial stage of competitive alloying of co-deposited silver and indium atoms into a silicon surface. Particularly, we i…

quant-ph2022★ 13 cited

Quantum-machine-learning channel discrimination

Andrey Kardashin, Anna Vlasova, Anastasiia Pervishko +2

In the problem of quantum channel discrimination, one distinguishes between a given number of quantum channels, which is done by sending an input state through a channel and measur…

cond-mat.mes-hall2022★ 5 cited

A superstatistics approach to the modelling of memristor current-voltage responses

Roland Konlechner, Anis Allagui, Vladimir N. Antonov +1

Memristors are expected to form a major cornerstone in the upcoming renaissance of analog computing, owing to their very small spatial footprint and low power consumption. Due to t…

cond-mat.str-el2021★ 7 cited

Skyrmion-driven topological Hall effect in a Shastry-Sutherland magnet

N. Swain, M. Shahzad, G. V. Paradezhenko +3

The Shastry-Sutherland model and its generalizations have been shown to capture emergent complex magnetic properties from geometric frustration in several quasi-two-dimensional qua…

cond-mat.mtrl-sci2021★ 10 cited

Random iron-nickel alloys: From first principles to dynamic spin fluctuation theory

G. V. Paradezhenko, D. Yudin, A. A. Pervishko

We provide a systematic analysis of finite-temperature magnetic properties of random alloys FeNi with the face-centered-cubic structure over a broad concentration range…

quant-ph2021★ 13 cited

Numerical hardware-efficient variational quantum simulation of a soliton solution

Andrey Kardashin, Anastasiia Pervishko, Jacob Biamonte +1

Implementing variational quantum algorithms with noisy intermediate-scale quantum machines of up to a hundred qubits is nowadays considered as one of the most promising routes towa…

cond-mat.mtrl-sci2020★ 4 cited

On the origin of electron accumulation layer at clean InAs(111) surfaces

Ivan Vrubel, Dmitry Yudin, Anastasiia Pervishko

In this paper, we provide a comprehensive theoretical analysis of the electronic structure of InAs(111) surfaces with a special attention paid to the energy region close to the fun…

quant-ph2020★ 17 cited

Certified variational quantum algorithms for eigenstate preparation

Andrey Kardashin, Alexey Uvarov, Dmitry Yudin +1

Solutions to many-body problem instances often involve an intractable number of degrees of freedom and admit no known approximations in general form. In practice, representing quan…

cond-mat.dis-nn2020★ 8 cited

Probing Criticality in Quantum Spin Chains with Neural Networks

A Berezutskii, M Beketov, D Yudin +2

The numerical emulation of quantum systems often requires an exponential number of degrees of freedom which translates to a computational bottleneck. Methods of machine learning ha…

quant-ph2020★ 67 cited

Variational Quantum Eigensolver for Frustrated Quantum Systems

Alexey Uvarov, Jacob Biamonte, Dmitry Yudin

Hybrid quantum-classical algorithms have been proposed as a potentially viable application of quantum computers. A particular example - the variational quantum eigensolver, or VQE…

cond-mat.str-el2019★ 6 cited

Giant anisotropy of Gilbert damping in a Rashba honeycomb antiferromagnet

M. Baglai, R. J. Sokolewicz, A. Pervishko +4

Giant Gilbert damping anisotropy is identified as a signature of strong Rashba spin-orbit coupling in a two-dimensional antiferromagnet on a honeycomb lattice. The phenomenon origi…

cond-mat.mtrl-sci2019★ 8 cited

Localized surface electromagnetic waves in CrI-based magnetophotonic structures

Anastasiia A. Pervishko, Dmitry Yudin, Vijay Kumar Gudelli +3

Resulting from strong magnetic anisotropy two-dimensional ferromagnetism was recently shown to be stabilized in chromium triiodide, CrI, in the monolayer limit. While its prope…

cond-mat.mtrl-sci2019★ 5 cited

Oxygen Vacancy in ZnO- Phase: Pseudohybrid Hubbard Density Functional Study

Ivan I. Vrubel, Anastasiia A. Pervishko, Dmitry Yudin +3

The study of zinc oxide, within the homogeneous electron gas approximation, results in overhybridization of zinc shell with oxygen shell, a problem shown for most transit…

cond-mat.dis-nn2019★ 13 cited

Spin-orbit torques in a Rashba honeycomb antiferromagnet

R. J. Sokolewicz, S. Ghosh, D. Yudin +2

Recent experiments on switching antiferromagnetic domains by electric current pulses have attracted a lot of attention to spin-orbit torques in antiferromagnets. In this work, we e…

quant-ph2019★ 175 cited

Experimental neural network enhanced quantum tomography

Adriano Macarone Palmieri, Egor Kovlakov, Federico Bianchi +4

Quantum tomography is currently ubiquitous for testing any implementation of a quantum information processing device. Various sophisticated procedures for state and process reconst…

cond-mat.stat-mech2018★ 25 cited

Self-organizing maps as a method for detecting phase transitions and phase identification

Albert A. Shirinyan, Valerii K. Kozin, Johan Hellsvik +3

Originating from image recognition, methods of machine learning allow for effective feature extraction and dimensionality reduction in multidimensional datasets, thereby providing…

cond-mat.mes-hall2018★ 2 cited

An ab initio perspective on scanning tunneling microscopy measurements of the tunable Kondo resonance of the TbPc molecule on a gold substrate

Ivan I. Vrubel, Anastasiia A. Pervishko, Heike Herper +3

With recent advances in the areas of nanostructure fabrication and molecular spintronics the idea of using single molecule magnets as building blocks for the next generation electr…

cond-mat.mes-hall2018★ 12 cited

Another view on Gilbert damping in two-dimensional ferromagnets

Anastasiia A. Pervishko, Mikhail I. Baglai, Olle Eriksson +1

A keen interest towards technological implications of spin-orbit driven magnetization dynamics requests a proper theoretical description, especially in the context of a microscopic…

cond-mat.mes-hall2018

Resonant spin wave excitation in magnetoplasmonic bilayers by short laser pulses

Stanislav Kolodny, Dmitry Yudin, Ivan Iorsh

In magnetically ordered solids a static magnetic field can be generated by virtue of the transverse magneto-optical Kerr effect (TMOKE). Moreover, the latter was shown to be dramat…

cond-mat.mes-hall2018★ 1 cited

Resonant electron tunneling spectroscopy of antibonding states in a Dirac semimetal

Y. Marques, D. Yudin, I. A. Shelykh +1

Recently, it was shown both theoretically and experimentally that certain three-dimensional (3D) materials have Dirac points in the Brillouin zone, thus being 3D analogs of graphen…