Dmitry Yudin studied applied mathematics and physics at Moscow Institute of Physics and Technology (Moscow, Russia) and graduated with a PhD examination at Uppsala University (Uppsala, Sweden) in 2015.
During his PhD studies and right after he gained significant research experience in developing advanced numerical algorithms for studying various aspects of strongly correlated systems, including those based on machine learning and variational quantum circuits.
After defending his PhD he took a position as a Research Fellow at Nanyang Technological University (Singapore), while enjoyed being a long term visiting researcher at the University of California at San Diego, USA, and at Max-Planck-Institute for Quantum Optics, Germany.
He subsequently moved back to Russia where he used to work as an independent researcher with support from the Russian Foundation for Basic Research and the Russian Science Foundation.
In 2018, Dmitry joined Skoltech as a Research Scientist at the Center for Computational Data-Intensive Science and Engineering (CDISE) and was appointed as an Assistant Professor in 2020. Since 2022 Dmitry has been working with the Skoltech Project Center for Next Generation Wireless and IoT, where he is pursuing research on 6G enabling technologies and edge intelligence.
G. Paradezhenko, D. Prodan, A. Pervishko, D. Yudin, and A. Allagui. Fractional Marcus-Hush-Chidsey-Yakopcic current-voltage model for redox-based resistive memory devices // Physical Chemistry Chemical Physics (2023)
G. Paradezhenko, A. Pervishko, and D. Yudin. Tensor train optimization of parametrized quantum circuits // JETP Letters 118, 938 (2023)
A. Yu. Samardak, A. Kolesnikov, M. E. Stebliy, A. V. Gerasimenko, A. V. Sadovnikov, S. A. Nikitov, A. A. Pervishko, D. Yudin, A. V. Ognev, O. A. Tretiakov, C. Wan, X.-F. Han, and A. S. Samardak. Thermal annealing driven enhancement of perpendicular magnetic anisotropy and the interfacial Dzyaloshinskii–Moriya interaction in ultrathin Ru/Co/W/Ru films // ACS Applied Electronic Materials 5, 2799 (2023)
R. Konlechner, A. Allagui, V. N. Antonov, and D. Yudin. A superstatistics approach to the modelling of memristor current–voltage responses // Physica A 614, 128555 (2023)
D. Prodan, G. Paradezhenko, D. Yudin, and A. Pervishko. An ab initio approach to anisotropic alloying into the Si(001) surface // Physical Chemistry Chemical Physics 25, 5501 (2023)
G. V. Paradezhenko, A. A. Pervishko, and D. Yudin. Searching topological magnetic textures with machine learning // Physics Uspekhi 193, 1237 (2023)
J. Park, T. Kim, G. W. Kim, V. Bessonov, A. Telegin , I. G. Iliushin , A. A. Pervishko , D. Yudin, A. Yu. Samardak, A. V. Ognev, A. S. Samardak, J. Cho, Y. K. Kim. Compositional gradient induced enhancement of Dzyaloshinskii–Moriya interaction in Pt/Co/Ta heterostructures modulated by Pt–Co alloy intralayers // Acta Materialia 241, 118383 (2022)
G. Paradezhenko, A. Pervishko, N. Swain, P. Sengupta, and D. Yudin. Spin-hedgehog-derived electromagnetic effects in itinerant magnets // Physical Chemistry Chemical Physics 24, 24317 (2022)
A. S. Kardashin, A. V. Vlasova, A. A. Pervishko, D. Yudin, and J. D. Biamonte. Quantum-machine-learning channel discrimination // Physical Review A 106, 032409 (2022)
A. S. Samardak, A. V. Ognev, A. G. Kolesnikov, M. E. Stebliy, V. Yu. Samardak, I. G. Iliushin, A. A. Pervishko, D. Yudin, M. Platunov, T. Ono, F. Wilhelm, and A. Rogalev. XMCD and ab initio study of interface-engineered ultrathin Ru/Co/W/Ru films with perpendicular magnetic anisotropy and strong Dzyaloshinskii–Moriya interaction // Physical Chemistry Chemical Physics 24, 8225 (2022)
A. A. Pervishko and D. Yudin. Microscopic approach to the description of spin torques in two-dimensional Rashba anti- and ferromagnets // Physics Uspekhi 65, 215 (2022)
N. Swain, M. Shahzad, G. V. Paradezhenko, A. A. Pervishko, D. Yudin, and P. Sengupta. Skyrmion-driven topological Hall effect in a Shastry-Sutherland magnet // Physical Review B 104, 235156 (2021)
G. V. Paradezhenko, D. Yudin, and A. A. Pervishko. Random iron-nickel alloys: From first principles to dynamic spin fluctuation theory // Physical Review B 104, 245102 (2021)
A. Kardashin, A. Pervishko, J. Biamonte, and D. Yudin. Numerical hardware-efficient variational quantum simulation of a soliton solution // Physical Review A 104, L020402 (2021)
I. I. Vrubel, D. Yudin, and A. A. Pervishko. On the origin of the electron accumulation layer at clean InAs(111) surfaces // Physical Chemistry Chemical Physics 23, 4811 (2021)
A. Macarone Palmieri, E. Kovlakov, F. Bianchi, D. Yudin, S. Straupe, J. D. Biamonte, and S. Kulik. Experimental neural network enhanced quantum tomography // npj Quantum Information 6, 20 (2020)
A. Kardashin, A. Uvarov, D. Yudin, and J. Biamonte. Certified variational quantum algorithms for eigenstate preparation // Physical Review A 102, 052610 (2020)
A. A. Pervishko, D. Yudin, V. Kumar Gudelli, A. Delin, O. Eriksson, and G.-Y. Guo. Localized surface electromagnetic waves in CrI3-based magnetophotonic structures // Optics Express 28, 29155 (2020)
A. Uvarov, J. D. Biamonte, and D. Yudin. Variational quantum eigensolver for frustrated quantum systems // Physical Review B 102, 075104 (2020)
A. Berezutskii, M. Beketov, D. Yudin, Z. Zimborás, and J. D. Biamonte. Probing criticality in quantum spin chains with neural networks // Journal of Physics: Complexity 1, 03LT01 (2020)
I. I. Vrubel, A. A. Pervishko, D. Yudin, B. Sanyal, O. Eriksson, and P. A. Rodnyi. Oxygen vacancy in ZnO-w phase: pseudohybrid Hubbard density functional study // Journal of Physics: Condensed Matter 32, 315503 (2020)
I. I. Vrubel, A. A. Pervishko, H. Herper, B. Brena, O. Eriksson, and D. Yudin. An ab initio perspective on STM measurements of the tunable Kondo resonance of the TbPc2 molecule on a gold substrate // Physical Review B 101, 125106 (2020)
M. Baglai, R. J. Sokolewicz, A. Pervishko, M. I. Katsnelson, O. Eriksson, D. Yudin, and M. Titov. Giant anisotropy of Gilbert damping in a Rashba honeycomb antiferromagnet // Physical Review B 101, 104403 (2020)