Zobrazeno 1 - 10
of 460
pro vyhledávání: '"Schegolev, A. A."'
Autor:
Pashin, D. S., Bastrakova, M. V., Rybin, D. A., Soloviev, I. I., Schegolev, A. E., Klenov, N. V.
In this article, we consider designs of simple analog artificial neural networks based on adiabatic Josephson cells with a sigmoid activation function. A new approach based on the gradient descent method is developed to adjust the circuit parameters,
Externí odkaz:
http://arxiv.org/abs/2405.03521
Publikováno v:
Физическое воспитание и студенческий спорт, Vol 3, Iss 3, Pp 310-319 (2024)
The report on the II All-Russian scientific and practical conference with international participation “Student sports in the modern world”, held on May 17–18, 2024 on the basis of Peter the Great St. Petersburg Polytechnic University, is presen
Externí odkaz:
https://doaj.org/article/3ae0fd97e17f4e32a0ca2192fbd9a3d0
Autor:
Dmitrii S. Pashin, Pavel V. Pikunov, Marina V. Bastrakova, Andrey E. Schegolev, Nikolay V. Klenov, Igor I. Soloviev
Publikováno v:
Beilstein Journal of Nanotechnology, Vol 14, Iss 1, Pp 1116-1126 (2023)
Josephson digital or analog ancillary circuits are an essential part of a large number of modern quantum processors. The natural candidate for the basis of tuning, coupling, and neromorphic co-processing elements for processors based on flux qubits i
Externí odkaz:
https://doaj.org/article/2352858a27a84d37bed2883e1e353187
Autor:
Dmitrii S. Pashin, Marina V. Bastrakova, Dmitrii A. Rybin, Igor. I. Soloviev, Nikolay V. Klenov, Andrey E. Schegolev
Publikováno v:
Nanomaterials, Vol 14, Iss 10, p 854 (2024)
In this article, we consider designs of simple analog artificial neural networks based on adiabatic Josephson cells with a sigmoid activation function. A new approach based on the gradient descent method is developed to adjust the circuit parameters,
Externí odkaz:
https://doaj.org/article/e5bec3256c134e1c8a1c11dd3a9f8d17
Autor:
V. F. Bezhenar, I. A. Dobrovolskaya, I. M. Nesterov, A. V. Schegolev, A. N. Kucheryavenko, S. G. Meshchaninova, V. S. Pakin, A. A. Nikulin
Publikováno v:
Акушерство, гинекология и репродукция, Vol 17, Iss 1, Pp 75-91 (2023)
Aim: to asses an opportunity for predicting an unfavorable perinatal and maternal pregnancy outcome in severe novel coronavirus infection (NCI) COVID-19. Materials and Methods. A retrospective comparative study of the course and outcomes of pregnanci
Externí odkaz:
https://doaj.org/article/cf2157c039dc4b72b1ae977c8891ab1a
Autor:
Anna V. Bogatskaya, Nikolay V. Klenov, Alexander M. Popov, Andrey E. Schegolev, Pavel A. Titovets, Maxim V. Tereshonok, Dmitry S. Yakovlev
Publikováno v:
Nanomaterials, Vol 14, Iss 2, p 141 (2024)
It is known that the dielectric layer (resonator) located behind the conducting plate of the bolometer system can significantly increase its sensitivity near the resonance frequencies. In this paper, the possibility of receiving broadband electromagn
Externí odkaz:
https://doaj.org/article/873958eeae814a1b9fe0863934493908
Autor:
Soloviev, I. I., Schegolev, A. E., Klenov, N. V., Bakurskiy, S. V., Kupriyanov, M. Yu., Tereshonok, M. V., Shadrin, A. V., Stolyarov, V. S., Golubov, A. A.
Publikováno v:
Journal of Applied Physics 124, 152113 (2018)
We consider adiabatic superconducting cells operating as an artificial neuron and synapse of a multilayer perceptron (MLP). Their compact circuits contain just one and two Josephson junctions, respectively. While the signal is represented as magnetic
Externí odkaz:
http://arxiv.org/abs/1807.09527
Autor:
Marina V. Bastrakova, Dmitrii S. Pashin, Dmitriy A. Rybin, Andrey E. Schegolev, Nikolay V. Klenov, Igor I. Soloviev, Anastasiya A. Gorchavkina, Arkady M. Satanin
Publikováno v:
Beilstein Journal of Nanotechnology, Vol 13, Iss 1, Pp 653-665 (2022)
We explore the dynamics of an adiabatic neural cell of a perceptron artificial neural network in a quantum regime. This mode of cell operation is assumed for a hybrid system of a classical neural network whose configuration is dynamically adjusted by
Externí odkaz:
https://doaj.org/article/4825e2d972534152a5b72214a9b2bf7b
Autor:
Andrey E. Schegolev, Nikolay V. Klenov, Sergey V. Bakurskiy, Igor I. Soloviev, Mikhail Yu. Kupriyanov, Maxim V. Tereshonok, Anatoli S. Sidorenko
Publikováno v:
Beilstein Journal of Nanotechnology, Vol 13, Iss 1, Pp 444-454 (2022)
The hardware implementation of signal microprocessors based on superconducting technologies seems relevant for a number of niche tasks where performance and energy efficiency are critically important. In this paper, we consider the basic elements for
Externí odkaz:
https://doaj.org/article/5807f4e6ca344345b63ec2cb8e3cad49
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