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

Han, Yi; Sun, Jingxuan; Richstein, Benjamin; Grenmyr, Andreas; Bae, Jin-Hee; Allibert, Frederic; Radu, Ionut; Grützmacher, Detlev et al. · Nano Lett · 2025

basic_science · Level V

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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 (C<sup>2</sup>RAM) cell using advanced Si technology, which enhances storage density through its scalability and multistate capability. Remarkably, the C<sup>2</sup>RAM maintains data for over a decade with its extended retention times and offers potential as an artificial synapse. This positions C<sup>2</sup>RAM as an ideal nonvolatile memory candidate for cryogenic computing applications and emerging quantum technologies.