Speaker: Dr Tristan Gomes
Moderator: Susana Cardoso de Freitas, INESC MN
Date: March 21, 2024 @ 15h30 Lisbon time Hybrid seminar: Auditorium/Room 9 @ INESC and virtual (registration here)

ABSTRACT: Integrating magnetic skyrmion properties into neuromorphic computing promises advancements in hardware efficiency and computational power. However, a scalable implementation of the weighted sum of neuron signals, a core operation in neural networks, has yet to be demonstrated. In this study, we exploit the non-volatile and particle-like characteristics of magnetic skyrmions, akin to synaptic vesicles and neurotransmitters, to perform this weighted sum operation in a compact, biologically-inspired manner. To this aim, skyrmions are electrically generated in numbers proportional to the input with an efficiency given by a non-volatile weight. These 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, currently with 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.

SHORT BIO: Dr. Tristan Gomes is a PostDoc at Institute of Condensed Matter and Nanosciences (ICMN). He has completed his PhD in Engineering and Technology at Université Catholique de Louvain in 2020.