%0 Journal Article
%A Han, Yi
%A Sun, Jingxuan
%A Richstein, Benjamin
%A Grenmyr, Andreas
%A Bae, Jin-Hee
%A Allibert, Frederic
%A Radu, Ionut
%A Grützmacher, Detlev
%A Knoch, Joachim
%A Zhao, Qing-Tai
%T An Energy Efficient Memory Cell for Quantum and Neuromorphic Computing at Low Temperatures
%J Nano letters
%V 25
%N 16
%@ 1530-6984
%C Washington, DC
%I ACS Publ.
%M FZJ-2025-02521
%P 6374 - 6381
%D 2025
%X 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.
%F PUB:(DE-HGF)16
%9 Journal Article
%$ 40223210
%U <Go to ISI:>//WOS:001466589400001
%R 10.1021/acs.nanolett.4c05855
%U https://juser.fz-juelich.de/record/1042314