Neuromorphic weighted sums with magnetic skyrmions
arXiv:2310.16909 · doi:10.1038/s41928-024-01303-z
Abstract
Integrating magnetic skyrmions into neuromorphic computing could help improve hardware efficiency and computational power. However, developing a scalable implementation of the weighted sum of neuron signals - a core operation in neural networks - has remained a challenge. Here, we show that weighted sum operations can be performed in a compact, biologically-inspired manner by using the non-volatile and particle-like characteristics of magnetic skyrmions that make them easily countable and summable. The skyrmions are electrically generated in numbers proportional to an input with an efficiency given by a non-volatile weight. The chiral particles are then directed using localized current injections to a location where their presence is quantified through non-perturbative electrical measurements. Our experimental demonstration, which currently has two inputs, can be scaled to accommodate multiple inputs and outputs using a crossbar array design, potentially nearing the energy efficiency observed in biological systems.
13 pages, 5 figures
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Cited by in corpus (7)
- Fractional Skyrmion Tubes in Chiral-Interfaced Three-Dimensional Magnetic Nanowires
- Nanofluidic logic based on chiral skyrmion flows
- Voltage-controlled topological spin textures in the monolayer limit
- Correlating on-the-fly Electrical and Optical Skyrmion Readout
- Giant orbital magnetoresistance in the antiferromagnet CoO driven by dynamic orbital angular momentum interaction
- Symmetry-Tunable Skyrmions and Merons in Magnetic Nanodisks via Spatially Engineered Anisotropy
- Antiferromagnetic Skyrmion Scattering Revealed by Direct Time-Resolved Imaging of Collective Dynamics