activity
20192026
most citedJOINUS: A User-friendly Open-source Software to Simulate Digital Superconductor Circuits

12 citations · 86 across the 23 of their papers we have counts for

collaborators

24 papers

cs.ET2026

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…

cs.ET2026

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…

cond-mat.supr-con2026

Inductorless Fast Phase Logic: Enabling Two-Order-of-Magnitude Density Scaling for Superconductor VLSI

Sasan Razmkhah, Douglas Scott Holmes, Massoud Pedram

Fast phase logic (FPL) is a novel digital superconductor electronic (SCE) logic family that employs multiple junction types, including switching 0-Josephson junctions (0-JJs), non-…

cond-mat.supr-con2025

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…

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.AR2025

SCE-NTT: A Hardware Accelerator for Number Theoretic Transform Using Superconductor Electronics

Sasan Razmkhah, Mingye Li, Zeming Cheng +13

This research explores the use of superconductor electronics (SCE) for accelerating fully homomorphic encryption (FHE), focusing on the Number-Theoretic Transform (NTT), a key comp…

cond-mat.supr-con2025

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…

cond-mat.supr-con2025

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…

cond-mat.supr-con2025

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…

cs.AR2024

SAIM: Scalable Analog Ising Machine for Solving Quadratic Binary Optimization Problems

Sasan Razmkhah, Jui-Yu Huang, Mehdi Kamal +1

This paper presents a CMOS-compatible Lechner-Hauke-Zoller (LHZ)--based analog tile structure as a fundamental unit for developing scalable analog Ising machines (IMs). In the desi…

cond-mat.supr-con2024★ 5 cited

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…

cond-mat.supr-con2024★ 7 cited

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…

cond-mat.supr-con2023

Efficient Superconductor Arithmetic Logic Unit for Ultra-Fast Computing

Sasan Razmkhah, Ali Bozbey

We present a 4-bit Arithmetic Logic Unit (ALU) utilizing superconductor technology. The ALU serves as the central processing unit of a processor, performing crucial arithmetic and…

cond-mat.supr-con2023★ 7 cited

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…

cond-mat.supr-con2023★ 1 cited

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…

cs.ET2023★ 4 cited

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…

cs.NE2023★ 8 cited

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…

cs.ET2023★ 9 cited

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…

quant-ph2023★ 11 cited

A Josephson Parametric Oscillator-Based Ising Machine

Sasan Razmkhah, Mehdi Kamal, Nobuyuki Yoshikawa +1

Ising machines have emerged as a promising solution for rapidly solving NP-complete combinatorial optimization problems, surpassing the capabilities of traditional computing method…

cond-mat.supr-con2023★ 10 cited

High-Density Superconductive Logic Circuits Utilizing 0 and Josephson Junctions

Sasan Razmkhah, Massoud Pedram

Superconductor Electronics (SCE) is a fast and power-efficient technology with great potential for overcoming conventional CMOS electronics' scaling limits. Nevertheless, the prima…

quant-ph2022★ 3 cited

Superconductor modulation circuits for Qubit control at microwave frequencies

Sasan Razmkhah, Ali Bozbey, Pascal Febvre

Readout and control of qubits are limiting factors in scaling quantum computers. An ideal solution is to integrate energy-efficient cryogenic circuits close to the qubits to perfor…

physics.app-ph2020★ 9 cited

A Compact High Frequency Voltage Amplifier for Superconductor-Semiconductor Logic Interface

Sasan Razmkhah, Ali Bozbey, Pascal Febvre

The many advantages of cryogenically-cooled Single-Flux Quantum (SFQ) circuits imply that the high speed and low voltage output signals must be amplified and interfaced with standa…

physics.app-ph2019

Study of microwave resonances induced by bias lines of shunted Josephson junctions

Ugur Yilmaz, Sasan Razmkhah, Romain Collot +3

Bias lines routed over a ground plane naturally form microstrip lines associated with the presence of a capacitance. This can lead to unwanted resonances when coupled to Josephson…

cond-mat.supr-con2019★ 12 cited

JOINUS: A User-friendly Open-source Software to Simulate Digital Superconductor Circuits

Sasan Razmkhah, Pascal Febvre

Single flux quantum (SFQ) based circuits are the subject of renewed attention due to their high speed and their very high energy efficiency. However, the need of cryogenic temperat…