logo
CanyamAI summaries for academic research
language
MobileMobile
  • Phone FeatureWeChat Mini Program
EnglishEnglish
noticeNotice
BlogBlog
delete
arrow
Return

An Energy Efficient Memory Cell for Quantum and Neuromorphic Computing at Low Temperatures

delete2025-04-14
delete0
PRE
AI
Y
Yi Han
J
Jingxuan Sun
B
Benjamin Richstein
A
Andreas Grenmyr
J
Jin Hee Bae
F
F. Allibert
I
Ionut Radu
D
Detlev Grützmacher
J
Joachim Knoch
DOI：10.1021/acs.nanolett.4c05855delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Efficient computing in cryogenic environments, including classical von Neumann, quantum, and neuromorphic systems, is poised to transform big data processing. The quest for high-density, energy-efficient memories continues, with cryogenic memory solutions still unclear. We present a Cryogenic Capacitorless Random Access Memory (C2RAM) cell using advanced Si technology, which enhances storage density through its scalability and multistate capability. Remarkably, the C2RAM maintains data for over a decade with its extended retention times and offers potential as an artificial synapse. This positions C2RAM as an ideal nonvolatile memory candidate for cryogenic computing applications and emerging quantum technologies.
Keywords:
Cryogenic CMOS
Quantum computing
Cryogenicmemory
Neuromorphic computing

Journal

Nano Letters cover
Nano Letters
IF:
9.1
Papers:
2.7W
Citations:
16.5W

Organization

No organization information available