no code implementations • 3 Mar 2021 • Graham E. Rowlands, Minh-Hai Nguyen, Guilhem J. Ribeill, Andrew P. Wagner, Luke C. G. Govia, Wendson A. S. Barbosa, Daniel J. Gauthier, Thomas A. Ohki
The rapidity and low power consumption of superconducting electronics makes them an ideal substrate for physical reservoir computing, which commandeers the computational power inherent to the evolution of a dynamical system for the purposes of performing machine learning tasks.
no code implementations • 30 Jan 2021 • Wendson A. S. Barbosa, Aaron Griffith, Graham E. Rowlands, Luke C. G. Govia, Guilhem J. Ribeill, Minh-Hai Nguyen, Thomas A. Ohki, Daniel J. Gauthier
For the parity task, our symmetry-aware RC obtains zero error using an exponentially reduced neural network and training data, greatly speeding up the time to result and outperforming hand crafted artificial neural networks.
