Physical reservoir computing based on spin torque oscillator with forced synchronization
We investigated physical reservoir computing (RC) using a vortex-type spin torque oscillator (STO) as a resource of nonlinear dynamics, which is essential for processing information in time-series data. Forced synchronization was used to suppress the thermal fluctuation of the oscillation trajectory...
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Veröffentlicht in: | Applied physics letters 2019-04, Vol.114 (16) |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | We investigated physical reservoir computing (RC) using a vortex-type spin torque oscillator (STO) as a resource of nonlinear dynamics, which is essential for processing information in time-series data. Forced synchronization was used to suppress the thermal fluctuation of the oscillation trajectory of the STO. We examined the memory property of the STO dynamics, called short-term memory (STM), by using a virtual node technique. The STM capacity increased about twofold compared with that obtained without forced synchronization. The performance index for the nonlinear transformation of the STO also increased; it was evaluated in a parity-check task. The results prove that the synchronized STO has great potential for physical RC based on nanotechnology. |
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ISSN: | 0003-6951 1077-3118 |
DOI: | 10.1063/1.5081797 |