A new technical paper titled “An Energy Efficient Memory Cell for Quantum and Neuromorphic Computing at Low Temperatures” was published by researchers at Forschungszentrum Jülich, RWTH Aachen University and SOITEC.
Abstract:
“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.”
Find the technical paper here. April 2025.
Yi Han, Jingxuan Sun, Benjamin Richstein, Andreas Grenmyr, Jin-Hee Bae, Frederic Allibert, Ionut Radu, Detlev Grützmacher, Joachim Knoch, and Qing-Tai Zhao
Nano Letters Article ASAP
DOI: 10.1021/acs.nanolett.4c05855
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