Cryogenic Memory Array Based on Ferroelectric SQUID and Heater Cryotrons
The Problem
Cryogenic memory devices designed to operate at or below 4 Kelvin are prime enablers of practical quantum computing systems and superconducting electronic platforms. Current cryo-memories suffer from issues involving limited scalability, process complexity, bulky peripherals, array-level interference, volatility, and speed incompatibility.
The Solution
Researchers at the University of Tennessee have designed a novel cryogenic memory array using ferroelectric SQUIDs as storage elements and Heater Cryotrons as selector devices in a coupled device. This scalable cryo-memory array combines the unique characteristics of an FeSQUID and an hTron, averting conventional superconducting memory topologies by using inducting coupling and bulky peripheral circuits. This technology has a revolutionary potential within the field of quantum computing and supercomputing electronics.
Fig. 1. (a) Existing quantum computing architecture. (b) Proposed scalable system architecture by adopting cryogenic processor & memory. (c) Other Applications of cryogenic memory.
Benefits
| Benefit |
|---|
| Scalable memory platform with separate read-write paths. |
| Allows for smaller physical distance between components for improved computing power, weight reduction, and space saving. |
| Combined memory technology that can operate under 4 Kelvin, allowing for use in quantum computing and superconducting electronic platforms. |
More Information
- Gregory Sechrist, JD
- Associate Technology Manager, Multi Campus Office
- 865-974-1882 | gsechris@tennessee.edu
- UTRF Reference ID: 23038
- Patent Status: Patent Pending
Innovators
Md Mazharul Islam
Graduate Student, Department of Electrical Engineering and Computer Science, UT Knoxville
Md Mazharul Islam is a Ph.D. student with research interest in emerging memory devices, Beyond CMOS technologies, and neuromorphic hardware.
Read more about Md Mazharul IslamAhmedullah Aziz
Assistant Professor, Department of Electrical Engineering and Computer Science, UT Knoxville
Dr. Ahmedullah Aziz explores device-circuit-system co-design techniques with an emphasis on emerging technologies. He has received multiple awards and accolades for his research and has published over 80 scientific articles in this space.
Read more about Ahmedullah AzizShamiul Alam
Graduate Research Assistant, Department of Electrical Engineering and Computer Science, UT Knoxville
Shamiul Alam is a graduate student in the Department of Electrical Engineering and Computer Science at UT Knoxville. His research focuses on device modeling, circuit design, emerging memory devices, cryogenic logic and memory, and in-memory computing architecture. He has received the University of Tennessee's TOP100 Graduate fellowship, and the GATE Fellowship from Science Alliance.
Read more about Shamiul Alam