Tunable superconducting neurons for networks based on radial basis functions

Schegolev, Andrey E.; Klenov, N. V.; Bakurskiy, S. V.; Soloviev, I. I.; Kupriyanov, Mikhail Yu.; Терешонок, М. В.; Сидоренко, А. С.

doi:10.3762/bjnano.13.37

Cited by 15 publications

(7 citation statements)

References 61 publications

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“…It is observed that the superconducting technology-based hardware implementation of signal microprocessors could be useful for a variety of specialized jobs, in which both performance and energy efficiency are of the utmost importance. Within the scope of this research, based on radial basis functions, we examine the essential components of superconducting neural networks (RBF) (Schegolev et al, 2022). Qureshi et al (2014) presented a multiple relay selection scheme for underlay CRN in CSI.…”

Section: Literature Reviewmentioning

confidence: 99%

Spectrum sensing-focused cognitive radio network for 5G revolution

Ali

2023

Front. Environ. Sci.

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The cognitive radio network (CRN), an instrumental part of the next-generation wireless communication systems, is mainly dependent on spectrum sensing to function properly. The radio spectrum can help in clean energy transition and load capacity factors by providing a more efficient and accurate spectrum utilization. By using it, the number of spectrums that is used for communication can be optimized, which can reduce the amount of energy consumed by the network. Additionally, 5G radio spectrum sensing can be used to identify and classify different types of signals, which can help reduce the amount of interference in the network and improve the efficiency of energy utilization. It can also allow for the digitization of clean energy infrastructure and facilitate better decision-making processes that take into account environmental impacts while optimizing energy use because of its efficient characteristics like non-linearity, detection, scalability, robustness, generalization, non-stationarity in wireless environments, dynamic entity, weighted sum of Gaussian functions centered at specific frequencies, and robustness against noise and interference. It can adapt to noise and interference by adjusting its parameters, and this allows accurate distinguishing between primary and secondary users in the wireless spectrum, which is why a radial basis function is a popular choice for spectrum sensing in 5G networks. Radial basis function networks (RBFNs) can work better in 5G spectrum sensing for better signal classification, dynamic adaptation, fast detection, faster decision-making, and improved noise and interference reduction. One of the most sought-after goals in the field of wireless research is the creation of spectrum-sensing technology that is dependable and intelligent because multilayer learning approaches are inappropriate for dealing with time-series data due to the higher misclassification rate and inherent computational complexity. To address this, the study proposed the radial basis function network that learns the temporal aspects from spectral data and makes use of additional environmental statistics such as frequency, efficiency, energy, spectrum allocation, distance, and duty-cycle time, which are considered environmental data that may be used to fine-tune sensor performance. The scheme is simulated with real-time parameters, and the results are quite promising in terms of evaluation parameters.

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Section: Literature Reviewmentioning

confidence: 99%

Spectrum sensing-focused cognitive radio network for 5G revolution

Ali

2023

Front. Environ. Sci.

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“…These elements can significantly help in the design of supercomputers, data centers, neuromorphic circuits, and quantum computing. The use of hybrid structures consisting of superconductors (S) and ferromagnets (F) is one of the modern and promising areas in the development of these devices [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

“…Depending on the physical parameter being controlled, SSVs can be divided into three types. These are devices in which a change in the mutual orientation of the magnetic moments of the F-films is accompanied by a variation in their critical current [ 5 , 24 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 ], critical temperature [ 26 , 40 , 41 , 42 , 43 , 44 , 45 ], or kinetic inductance [ 4 , 8 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

Spin-Valve-Controlled Triggering of Superconductivity

Neilo,

Bakurskiy,

Klenov

et al. 2024

Nanomaterials

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We have studied the proximity effect in an SF1S1F2s superconducting spin valve consisting of a massive superconducting electrode (S) and a multilayer structure formed by thin ferromagnetic (F1,2) and superconducting (S1, s) layers. Within the framework of the Usadel equations, we have shown that changing the mutual orientation of the magnetization vectors of the F1,2 layers from parallel to antiparallel serves to trigger superconductivity in the outer thin s-film. We studied the changes in the pair potential in the outer s-film and found the regions of parameters with a significant spin-valve effect. The strongest effect occurs in the region of parameters where the pair-potential sign is changed in the parallel state. This feature reveals new ways to design devices with highly tunable inductance and critical current.

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“…The roadmap for modern superconducting electronics [ 1 ] classifies the development and study of superconducting spin switches (valves) as one of the promising directions of development. Such devices are necessary for the construction of cryogenic memory elements [ 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 ], neuromorphic processors [ 11 , 12 , 13 , 14 , 15 , 16 ], and quantum computers [ 17 , 18 , 19 ] (including those based on the use of quantum optics effects).…”

Section: Introductionmentioning

confidence: 99%

Tunnel Josephson Junction with Spin–Orbit/Ferromagnetic Valve

et al. 2023

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We have theoretically studied the transport properties of the SIsNSOF structure consisting of thick (S) and thin (s) films of superconductor, an insulator layer (I), a thin film of normal metal with spin–orbit interaction (SOI) (NSO), and a monodomain ferromagnetic layer (F). The interplay between superconductivity, ferromagnetism, and spin–orbit interaction allows the critical current of this Josephson junction to be smoothly varied over a wide range by rotating the magnetization direction in the single F-layer. We have studied the amplitude of the spin valve effect and found the optimal ranges of parameters.

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Tunable superconducting neurons for networks based on radial basis functions

Cited by 15 publications

References 61 publications

Spectrum sensing-focused cognitive radio network for 5G revolution

Spectrum sensing-focused cognitive radio network for 5G revolution

Spin-Valve-Controlled Triggering of Superconductivity

Tunnel Josephson Junction with Spin–Orbit/Ferromagnetic Valve

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