activity
20202026
most citedCryogenic Memory Technologies

138 citations · 256 across the 34 of their papers we have counts for

collaborators
Showing 2025Show all

6 papers · 1 filter

cond-mat.supr-con2025

Analog-to-Digital Converter Based on Voltage-controlled Superconducting Device

Md Mazharul Islam, Connor A. Good, Diego Ferrer +5

The increasing demand for cryogenic electronics in superconducting and quantum computing systems calls for ultra energy efficient data conversion architectures that remain function…

cs.ET2025

Reimagining Voltage-Controlled Cryogenic Boolean Logic Paradigm with Quantum-Enhanced Josephson Junction FETs

Md Mazharul Islam, Diego Ferrer, Shamiul Alam +4

The growing demand for ultra low power computing and the emergence of quantum technologies have intensified interest in cryogenic electronics, particularly superconducting devices.…

cs.ET2025

Injection Locking and Coupling Dynamics in Superconducting Nanowire based Cryogenic Oscillators

Md Mazharul Islam, Md Shafayat Hossain, Kathleen E Hamilton +1

Oscillators designed to function at cryogenic temperatures play a critical role in superconducting electronics and quantum computing by providing stable, low noise signals with min…

cs.LG2025

Embedding-Enhanced Probabilistic Modeling of Ferroelectric Field Effect Transistors (FeFETs)

Tasnia Nobi Afee, Jack Hutchins, Md Mazharul Islam +2

FeFETs hold strong potential for advancing memory and logic technologies, but their inherent randomness arising from both operational cycling and fabrication variability poses sign…

eess.IV2025

Multi-Domain FeFET-Based Pixel for In-Sensor Multiply-and-Accumulate Operations

Md Rahatul Islam Udoy, Wantong Li, Kai Ni +1

This paper presents an FeFET-based active pixel sensor that performs in-sensor multiply-and-accumulate (MAC) operations by leveraging the multi-domain polarization states of ferroe…

cs.ET2025

Energy-Efficient Cryogenic Neuromorphic Network with Superconducting Memristor

Md Mazharul Islam, Julia Steed, Karan Patel +2

Cryogenic neuromorphic systems, inspired by the brains unparalleled efficiency, present a promising paradigm for next generation computing architectures.This work introduces a full…