12 citations · 86 across the 23 of their papers we have counts for
5 papers · 1 filter
RIVERPlace: Repairing Interconnect Violations with Efficient Retiming and Incremental Placement for AQFP Circuits
Robert S. Aviles, Ziyu Liu, Sasan Razmkhah +2
The Adiabatic Quantum-Flux-Parametron (AQFP) offers near-Landauer-limit energy efficiency but faces significant scalability challenges due to strict path balancing and limited driv…
qPRO-AQFP: Post-Routing Optimization of AQFP Circuits with Delay Line Clocking
Robert S. Aviles, Ziyu Liu, Jingkai Hong +3
Adiabatic Quantum-Flux-Parametron (AQFP) logic is an ultra-low-power superconducting logic family with energy consumption approaching the Shannon limit, making it attractive for qu…
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…
Design of a Superconducting Multiflux Non-Destructive Readout Memory Unit
Beyza Zeynep Ucpinar, Yasemin Kopur, Mustafa Altay Karamuftuoglu +2
Due to low power consumption and high-speed performance, superconductor circuit technology has emerged as an attractive and compelling post-CMOS technology candidate. However, the…
Unsupervised SFQ-Based Spiking Neural Network
Mustafa Altay Karamuftuoglu, Beyza Zeynep Ucpinar, Sasan Razmkhah +2
Single Flux Quantum (SFQ) technology represents a groundbreaking advancement in computational efficiency and ultra-high-speed neuromorphic processing. The key features of SFQ techn…