Open Access
Optimisation Challenge for a Superconducting Adiabatic Neural Network That Implements XOR and OR Boolean Functions
Dmitrii Pashin
1
,
Marina V. Bastrakova
1, 2
,
Dmitrii A. Rybin
1
,
Igor I. Soloviev
2, 3, 4
,
Nikolay V. Klenov
4, 5
,
Andrey E. Schegolev
3, 6
1
3
Publication type: Journal Article
Publication date: 2024-05-14
PubMed ID:
38786810
Abstract
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, allowing efficient signal transmission between the network layers. The proposed solution is demonstrated on the example of a system that implements XOR and OR logical operations.
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Metrics
8
Total citations:
8
Citations from 2024:
8
(100%)
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MLA
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GOST
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Pashin D. et al. Optimisation Challenge for a Superconducting Adiabatic Neural Network That Implements XOR and OR Boolean Functions // Nanomaterials. 2024. Vol. 14. No. 10. p. 854.
GOST all authors (up to 50)
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Pashin D., Bastrakova M. V., Rybin D. A., Soloviev I. I., Klenov N. V., Schegolev A. E. Optimisation Challenge for a Superconducting Adiabatic Neural Network That Implements XOR and OR Boolean Functions // Nanomaterials. 2024. Vol. 14. No. 10. p. 854.
Cite this
RIS
Copy
TY - JOUR
DO - 10.3390/nano14100854
UR - https://www.mdpi.com/2079-4991/14/10/854
TI - Optimisation Challenge for a Superconducting Adiabatic Neural Network That Implements XOR and OR Boolean Functions
T2 - Nanomaterials
AU - Pashin, Dmitrii
AU - Bastrakova, Marina V.
AU - Rybin, Dmitrii A.
AU - Soloviev, Igor I.
AU - Klenov, Nikolay V.
AU - Schegolev, Andrey E.
PY - 2024
DA - 2024/05/14
PB - MDPI
SP - 854
IS - 10
VL - 14
PMID - 38786810
SN - 2079-4991
ER -
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BibTex (up to 50 authors)
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@article{2024_Pashin,
author = {Dmitrii Pashin and Marina V. Bastrakova and Dmitrii A. Rybin and Igor I. Soloviev and Nikolay V. Klenov and Andrey E. Schegolev},
title = {Optimisation Challenge for a Superconducting Adiabatic Neural Network That Implements XOR and OR Boolean Functions},
journal = {Nanomaterials},
year = {2024},
volume = {14},
publisher = {MDPI},
month = {may},
url = {https://www.mdpi.com/2079-4991/14/10/854},
number = {10},
pages = {854},
doi = {10.3390/nano14100854}
}
Cite this
MLA
Copy
Pashin, Dmitrii, et al. “Optimisation Challenge for a Superconducting Adiabatic Neural Network That Implements XOR and OR Boolean Functions.” Nanomaterials, vol. 14, no. 10, May. 2024, p. 854. https://www.mdpi.com/2079-4991/14/10/854.