no code implementations • 26 Dec 2023 • Henri Tertilt, Jonas Mensing, Marlon Becker, Wilfred G. van der Wiel, Peter A. Bobbert, Andreas Heuer
Third, we quantify the nonlinearity in the distribution of the output current vectors necessary for realizing Boolean functionality by introducing three nonlinearity indicators.
no code implementations • 15 May 2021 • Marcus N. Boon, Hans-Christian Ruiz Euler, Tao Chen, Bram van de Ven, Unai Alegre Ibarra, Peter A. Bobbert, Wilfred G. van der Wiel
Here, we demonstrate an efficient and accurate homodyne gradient extraction method for performing gradient descent on the loss function directly in the material system.
1 code implementation • 24 Jul 2020 • Hans-Christian Ruiz-Euler, Unai Alegre-Ibarra, Bram van de Ven, Hajo Broersma, Peter A. Bobbert, Wilfred G. van der Wiel
By implementing and testing a small multi-DNPU classifier in hardware, we show that feed-forward DNPU networks improve the performance of a single DNPU from 77% to 94% test accuracy on a binary classification task with concentric classes on a plane.