JFS-CryoMem: A Cryogenic Memory with Voltage-Controlled Superconducting Devices and Femtojoule-Scale Write/Read Energies
Md Rahatul Islam Udoy, Md Mazharul Islam, Juan P. Mendez, Denis Mamaluy, Aaron J. Muhowski, Samuel Hawkins, William M. Martinez, Courtney Sovinec, Wei Pan, Ahmedullah Aziz
Abstract
Scalable cryogenic systems require memory that combines nonvolatile storage, selective access, low thermal disturbance, and compatibility with superconducting electronics. We present a cryogenic memory architecture that integrates a voltage-controlled Josephson junction field-effect transistor (JJFET) selector with a ferroelectric superconducting quantum interference device (FeSQUID) storage element, hereafter termed JFS-CryoMem. The JJFET provides gate-controlled cell selection, whereas the FeSQUID stores information in stable remanent-polarization states. JFS-CryoMem features separate read and write path mechanisms that support nondestructive readout and independent optimization of programming and sensing conditions. The architecture is evaluated using experimentally calibrated compact models that reproduce the measured electrical characteristics of both constituent devices. We demonstrate selective programming using a half-bias scheme, nonvolatile state retention, and distinguishable readout in a 4 × 4 array while accounting for the selected cell and all unselected parallel branches. We then extend the analysis to arrays up to 16 × 16 and examine how array scaling alters current distribution, column-equivalent resistance, readout separation, required bitline current, and read energy. The results reveal the principal sensing and energy tradeoffs associated with larger arrays and identify the operating conditions required to preserve read distinguishability as the array grows. JFS-CryoMem provides a device-to-array framework for cryogenic memory in quantum, high-performance, and space-oriented computing systems.
Create a lesson
Related papers
Standard Quadratic Formulations of Many NP Problems: A Simplex-Based Compilation Framework for Combinatorial Optimization
Mohammad-Ali Miri, Babak Emami, PoJen Wang
Reading While Writing: Baseline Information Requirements for Molecular Neural Interfaces
Hongbin Ni, Ozgur B. Akan
P2P: Cross-View Population Denoising for Unpaired Single-Cell Perturbation Response Prediction
Haojie Yang, Ran Su
The Shape of Speed: Impacts of Partition Geometry and Rank Density in Distributed Quantum Circuit Simulations
Yikai Mao, Yuan He, Shaowen Li et al.
A Voltage-controlled MTJ-CMOS Neuron Emulating Tunable Izhikevich-Inspired Dynamics
Kayode Oluwaseyi Adebunmi, Jordan Athas, Allison Fleming et al.
Highly Scalable Selectorless Cryogenic Memory Array Using Ferroelectric Josephson Field-Effect Transistors
Saheeb Ahmad, Shamiul Alam