1. Ovonic Threshold Switching for Ultralow Energy Physical Reservoir Computing
- Author
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Guo, Y. Y., Degraeve, R., Ravsher, T., Garbin, D., Roussel, P., Kar, G. S., Bury, E., Linten, D., and Verbauwhede, I.
- Abstract
In this article, we demonstrate physical reservoir computing (RC) in ovonic threshold switching (OTS) devices. We show that SiGeAsSe OTS is suitable as a physical reservoir because of the nonlinear change in the number of delocalized defects. With the combination of phase space reconstruction (PSR), our algorithm can project data into high-dimensional spaces, thereby enhancing the distinguishability of the data. Such ability is suitable for high-accuracy authentication and classification. Our algorithm can be implemented using both crossbar arrays or individual devices, and achieves a significantly low (0.08%) equal error rate (EER) on gait authentication in simulation. Furthermore, we validated our concept by successfully implementing the algorithm on nine hardware OTS devices and achieved an EER of 4.2% on gait authentication. The low leakage current level of OTS, the fast learning of RC, and interval-based readout responses all contribute to a significantly reduced energy consumption of our proposed method.
- Published
- 2025
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