Zobrazeno 1 - 10
of 34
pro vyhledávání: '"A. E. Schegolev"'
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:
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:
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
Autor:
Andrey E. Schegolev, Nikolay V. Klenov, Georgy I. Gubochkin, Mikhail Yu. Kupriyanov, Igor I. Soloviev
Publikováno v:
Nanomaterials, Vol 13, Iss 14, p 2101 (2023)
The imitative modelling of processes in the brain of living beings is an ambitious task. However, advances in the complexity of existing hardware brain models are limited by their low speed and high energy consumption. A superconducting circuit with
Externí odkaz:
https://doaj.org/article/1c4ad205fa1249d5b89c68eb3f53dc2c
Autor:
Anna V. Bogatskaya, Nikolay V. Klenov, Alexander M. Popov, Andrey E. Schegolev, Pavel A. Titovets, Maxim V. Tereshonok
Publikováno v:
Sensors, Vol 23, Iss 3, p 1549 (2023)
We examine the effect of resonant absorption of electromagnetic signals in a silicon semiconductor plasma layer when the dielectric plate is placed behind it both experimentally and numerically. It is shown that such plate acts as a dielectric resona
Externí odkaz:
https://doaj.org/article/97804c4184d240b08ab619a830d10d69
Autor:
Andrey E. Schegolev, Nikolay V. Klenov, Anna V. Bogatskaya, Rustam D. Yusupov, Alexander M. Popov
Publikováno v:
Sensors, Vol 22, Iss 21, p 8286 (2022)
We have determined conditions when a pair of coupled waveguides, a common element for integrated room-temperature photonics, can act as a qubit based on a system with a double-well potential. Moreover, we have used slow-varying amplitude approximatio
Externí odkaz:
https://doaj.org/article/ca88f55b172741c8ac5947eb2439038f
Autor:
Olga V. Skryabina, Andrey E. Schegolev, Nikolay V. Klenov, Sergey V. Bakurskiy, Andrey G. Shishkin, Stepan V. Sotnichuk, Kirill S. Napolskii, Ivan A. Nazhestkin, Igor I. Soloviev, Mikhail Yu. Kupriyanov, Vasily S. Stolyarov
Publikováno v:
Nanomaterials, Vol 12, Iss 10, p 1671 (2022)
High-performance modeling of neurophysiological processes is an urgent task that requires new approaches to information processing. In this context, two- and three-junction superconducting quantum interferometers with Josephson weak links based on go
Externí odkaz:
https://doaj.org/article/abed2f4e2ecc4818b6d2d25ba47dcc1e
Autor:
Anna V. Bogatskaya, Andrey E. Schegolev, Nikolay V. Klenov, Evgeniy M. Lobov, Maxim V. Tereshonok, Alexander M. Popov
Publikováno v:
Sensors, Vol 22, Iss 1, p 398 (2022)
We consider two of the most relevant problems that arise when modeling the properties of a tunnel radio communication channel through a plasma layer. First, we studied the case of the oblique incidence of electromagnetic waves on a layer of ionized g
Externí odkaz:
https://doaj.org/article/f8fd5e42e36d40bd891c77d3e7fee24a