12 citations · 53 across the 12 of their papers we have counts for
13 papers
Experimental Demonstration of a Superconductor SFQ-Based ADC for High-Frequency Signal Acquisition
Beyza Zeynep Ucpinar, Sasan Razmkhah, Mustafa Altay Karamuftuoglu +1
Superconducting quantum interference devices (SQUIDs) are among the most sensitive sensors, offering high precision through their well-defined flux-voltage characteristics. Buildin…
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…
Optimized Bistable Vortex Memory Arrays for Superconducting In-Memory Matrix-Vector Multiplication
Mustafa Altay Karamuftuoglu, Changxu Song, Beyza Zeynep Ucpinar +2
Building upon previously introduced Bistable Vortex Memory (BVM) as a novel, nonvolatile, high-density, and scalable superconductor memory technology, this work presents a methodol…
Scalable Asynchronous Single Flux Quantum Up-Down Counter using Josephson Trapping Lines and α-Cells
Mustafa Altay Karamuftuoglu, Beyza Zeynep Ucpinar, Sasan Razmkhah +1
We present a scalable, clockless up-down counter architecture implemented using single-flux quantum (SFQ) logic to enable efficient state management in superconductor digital syste…
AR-SFQ: Asynchronous Reset Library Using α-Cell Design
Yasemin Kopur, Beyza Zeynep Ucpinar, Mustafa Altay Karamuftuoglu +2
Rapid Single Flux Quantum (RSFQ) circuits are the most evolved superconductor logic family. However, the need to clock each cell and the deep pipeline causes a complex clock networ…
Superconductor bistable vortex memory for data storage and in-memory computing
Mustafa Altay Karamuftuoglu, Beyza Zeynep Ucpinar, Sasan Razmkhah +1
Superconductor electronics (SCE) is a promising complementary and beyond CMOS technology. However, despite its practical benefits, the realization of SCE logic faces a significant…
Scalable Superconductor Neuron with Ternary Synaptic Connections for Ultra-Fast SNN Hardware
Mustafa Altay Karamuftuoglu, Beyza Zeynep Ucpinar, Arash Fayyazi +3
A novel high-fan-in differential superconductor neuron structure designed for ultra-high-performance Spiking Neural Network (SNN) accelerators is presented. Utilizing a high-fan-in…
Hybrid Synaptic Structure for Spiking Neural Network Realization
Sasan Razmkhah, Mustafa Altay Karamuftuoglu, Ali Bozbey
Neural networks and neuromorphic computing play pivotal roles in deep learning and machine vision. Due to their dissipative nature and inherent limitations, traditional semiconduct…
Superconductor Logic Implementation with All-JJ Inductor-Free Cell Library
Haolin Cong, Sasan Razmkhah, Mustafa Altay Karamuftuoglu +1
Single flux quantum (SFQ) technology has garnered significant attention due to its low switching power and high operational speed. Researchers have been actively pursuing more adva…
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…
An On-Chip Trainable Neuron Circuit for SFQ-Based Spiking Neural Networks
Beyza Zeynep Ucpinar, Mustafa Altay Karamuftuoglu, Sasan Razmkhah +1
We present an on-chip trainable neuron circuit. Our proposed circuit suits bio-inspired spike-based time-dependent data computation for training spiking neural networks (SNN). 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…
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…