2 papers
physics.app-ph2026
An Ultra-Low Power and Fast Ising Machine using Voltage-Controlled Magnetoresistive Random Access Memory
Sai Li, Yihao Zhang, Albert Lee +6
Physics-inspired computing paradigms, such as Ising machines, are emerging as promising hardware alternatives to traditional von Neumann architectures for tackling computationally…
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…