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cs.ET2025
SuperSNN: A Hardware-Aware Framework for Physically Realizable, High-Performance Superconducting Spiking Neural Network Chips
Changxu Song, Arda Caliskan, Beyza Zeynep Ucpinar +5
Despite numerous proposed designs for superconducting neural networks (SNNs), most have overlooked practical fabrication constraints, leading to implementations limited to only a f…
cs.ET2018
Single Flux Quantum Based Ultrahigh Speed Spiking Neuromorphic Processor Architecture
Ali Bozbey, Mustafa Altay Karamuftuoglu, Sasan Razmkhah +1
Artificial neural networks inspired by brain operations can improve the possibilities of solving complex problems more efficiently. Today's computing hardware, on the other hand, i…