Characterization of nonlinear spin-wave interference by reservoir-computing metrics
Abstract
We study the computational potential of a spin-wave (SW) substrate by applying two metrics known from reservoir computing. At low intensities, SW scatterers can perform linear operations, while at higher intensities, nonlinear phenomena dominate, possibly enabling high-function, general-purpose computing. The transition between the linear and nonlinear regimes can be quantified by the intensity-dependent kernel rank (KR) and generalization rank (GR). The KR and GR metrics prove that the SW substrate displays the nonlinearities required for computing and give recipes for device designs that utilize nonlinearity.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Sep 13, 2021
- Source ID
- 10.1063/5.0048982
Entities
People
- A. Papp
- Gyorgy Csaba
- Wolfgang Porod
Organizations
- Defense Advanced Research Projects Agency
- Hungarian Academy of Sciences
- Pázmány Péter Catholic University
- University of Notre Dame