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Voltage-controlled superparamagnetic ensembles for low-power reservoir computing
- Source :
- Applied Physics Letters
- Publication Year :
- 2021
- Publisher :
- AIP Publishing, 2021.
-
Abstract
- We propose thermally driven, voltage-controlled superparamagnetic ensembles as low-energy platforms for hardware-based reservoir computing. In the proposed devices, thermal noise is used to drive the ensembles' magnetization dynamics, while control of their net magnetization states is provided by strain-mediated voltage inputs. Using an ensemble of CoFeB nanodots as an example, we use analytical models and micromagnetic simulations to demonstrate how such a device can function as a reservoir and perform two benchmark machine learning tasks (spoken digit recognition and chaotic time series prediction) with competitive performance. Our results indicate robust performance on timescales from microseconds to milliseconds, potentially allowing such a reservoir to be tuned to perform a wide range of real-time tasks, from decision making in driverless cars (fast) to speech recognition (slow). The low energy consumption expected for such a device makes it an ideal candidate for use in edge computing applications that require low latency and power.\ud \ud The authors thank the Engineering and Physical Sciences Research Council (Grant No.: EP/S009647/1 and EP/V006339/1) for financial support. The project leading to this application has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No. 861618 (SpinENGINE).
- Subjects :
- 010302 applied physics
Millisecond
Magnetization dynamics
Physics and Astronomy (miscellaneous)
Computer science
Reservoir computing
02 engineering and technology
021001 nanoscience & nanotechnology
7. Clean energy
01 natural sciences
Power (physics)
0103 physical sciences
Benchmark (computing)
Electronic engineering
Latency (engineering)
0210 nano-technology
Edge computing
Voltage
Subjects
Details
- ISSN :
- 10773118 and 00036951
- Volume :
- 118
- Database :
- OpenAIRE
- Journal :
- Applied Physics Letters
- Accession number :
- edsair.doi.dedup.....6e39bf1875efcf91c406cdecee4bfba7