Neuromorphic weighted sums with magnetic skyrmions
(2025) Nature Electronics — Vol. 8, p. 204-214 (2025)
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- 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 in which 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.
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da Câmara Santa Clara Gomes, T., Yanis Sassi, Dédalo Sanz-Hernández, Sachin Krishnia, Sophie Collin, Marie-Blandine Martin, Pierre Seneor, Vincent Cros, Julie Grollier, & Nicolas Reyren. (2025). Neuromorphic weighted sums with magnetic skyrmions. Nature Electronics, 8, 204-214. https://hdl.handle.net/2078.5/248388 (Original work published 2025)