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Updated: Mar 12, 2026

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
Published on: August 2, 2019
Adiabatic superconducting cells for ultra-low-power artificial neural networks
Andrey E Schegolev1, Nikolay V Klenov2, Igor I Soloviev3
1Lomonosov Moscow State University, Physics Faculty, Moscow, 119991, Russia; Moscow Technical University of Communications and Informatics (MTUCI), Moscow, 111024, Russia.
Abstract:
We propose the concept of using superconducting quantum interferometers for the implementation of neural network algorithms with extremely low power dissipation. These adiabatic elements are Josephson cells with sigmoid- and Gaussian-like activation functions. We optimize their parameters for application in three-layer perceptron and radial basis function networks.
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