Adiabatic superconducting cells for ultra-low-power artificial neural networks
Andrey E. Schegolev, N. V. Klenov, Igor I. Soloviev, Maxim V Tereshonok · Beilstein Journal of Nanotechnology · 2016
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.