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physics.app-ph2025
QUEST: A Quantized Energy-Aware SNN Training Framework for Multi-State Neuromorphic Devices
Sai Li, Linliang Chen, Yihao Zhang +6
Neuromorphic devices, leveraging novel physical phenomena, offer a promising path toward energy-efficient hardware beyond CMOS technology by emulating brain-inspired computation. H…
physics.app-ph2019
Magnetic skyrmion artificial synapse for neuromorphic computing
Kyung Mee Song, Jae-Seung Jeong, Biao Pan +13
Since the experimental discovery of magnetic skyrmions achieved one decade ago, there have been significant efforts to bring the virtual particles into all-electrical fully functio…