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Neuromorphic weighted sums with magnetic skyrmions
Tristan da Câmara Santa Clara Gomes, Yanis Sassi, Dédalo Sanz-Hernández +7
Integrating magnetic skyrmions into neuromorphic computing could help improve hardware efficiency and computational power. However, developing a scalable implementation of the weig…
Control of the magnetic anisotropy in multi-repeat Pt/Co/Al heterostructures using magneto-ionic gating
Tristan da Câmara Santa Clara Gomes, Tanvi Bhatnagar-Schöffmann, Sachin Krishnia +14
Controlling magnetic properties through the application of an electric field is a significant challenge in modern nanomagnetism. In this study, we investigate the magneto-ionic con…
Spiking Dynamics in Dual Free Layer Perpendicular Magnetic Tunnel Junctions
Louis Farcis, Bruno Teixeira, Philippe Talatchian +8
Spintronic devices have recently attracted a lot of attention in the field of unconventional computing due to their non-volatility for short and long term memory, non-linear fast r…
Training an Ising Machine with Equilibrium Propagation
Jérémie Laydevant, Danijela Markovic, Julie Grollier
Ising machines, which are hardware implementations of the Ising model of coupled spins, have been influential in the development of unsupervised learning algorithms at the origins…
Compensation of anisotropy in spin-Hall devices for neuromorphic applications
Pankaj Sethi, Dédalo Sanz-Hernández, Florian Godel +6
Spintronic nano-oscillators with reduced non-linearity could offer key benefits for realizing neuromorphic applications such as spike-based neurons and frequency multiplexing in ne…
Roadmap for Unconventional Computing with Nanotechnology
Giovanni Finocchio, Jean Anne C. Incorvia, Joseph S. Friedman +48
In the "Beyond Moore's Law" era, with increasing edge intelligence, domain-specific computing embracing unconventional approaches will become increasingly prevalent. At the same ti…