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Search for "superconducting neural networks" in Full Text gives 3 result(s) in Beilstein Journal of Nanotechnology.
Programmable soliton dynamics in all-Josephson-junction logic cells and networks
Beilstein J. Nanotechnol. 2025, 16, 1883–1893, doi:10.3762/bjnano.16.131
- ; superconducting neural networks; Introduction The rapid advancement of Josephson junction (JJ) logic circuits [1][2][3][4][5] and neuromorphic networks [6][7][8][9] holds transformative potential for ultra-low-power computing. However, achieving scalable integration remains a critical bottleneck, as conventional
A bifunctional superconducting cell as flux qubit and neuron
Beilstein J. Nanotechnol. 2023, 14, 1116–1126, doi:10.3762/bjnano.14.92
- feature allows for the use of the proposed scheme in superconducting neural networks, such as perceptrons, integrated into hybrid quantum-neuromorphic computers. Moreover, the temperature affects the steepness of the sigmoid function. Even the manifestation of hysteresis in flux-to-flux transformations
Tunable superconducting neurons for networks based on radial basis functions
Beilstein J. Nanotechnol. 2022, 13, 444–454, doi:10.3762/bjnano.13.37
- relevant for a number of niche tasks where performance and energy efficiency are critically important. In this paper, we consider the basic elements for superconducting neural networks on radial basis functions. We examine the static and dynamic activation functions of the proposed neuron. Special
- considered a basic cell for superconducting signal neurocomputers designed for the fast processing of a group signal with extremely low energy dissipation. It turned out that for this purpose it is possible to modify the previously discussed element of adiabatic superconducting neural networks. The ability
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