Experimental study demonstrates optimized gate biasing for 1T1R resistive memory at 1.5 K, indicating a scalable pathway for nonvolatile memory in quantum computing architectures.
To enable compact quantum computing systems, cryogenically compatible CMOS‐based non‐volatile memories are required. In this work, we investigate 1‐transistor–1‐resistor (1T1R) resistive random‐access memory (RRAM) devices over an extended temperature range, including previously unexplored cryogenic regimes. To enhance storage density, we explore a multilevel‐cell approach via multilevel programming. As temperature decreases, the low‐resistance state (LRS) effective conductance increases, improving state separation but also leading to higher LRS currents and increased reset voltages required for reliable switching to the high‐resistance state (HRS), resulting in incomplete filament rupture and a broader HRS distribution. Through independent characterization of the access nMOS transistor, we identify transistor temperature dependence as the dominant factor governing LRS evolution, while extraction of the intrinsic metal–insulator–metal (MIM) behavior reveals an opposite trend, with decreasing conductivity at lower temperatures. Based on these insights, we implement an optimized programming strategy for cryogenic operation by tuning the nMOS gate bias during set, reducing LRS currents, particularly in intermediate and high conductance states, while preserving state separation, narrowing the HRS distribution, and lowering reset voltages. Overall, this work establishes a robust and scalable approach for reliable 1T1R operation at cryogenic temperatures and provides a key step toward nonvolatile memory integration in quantum computing architectures.
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Quesada et al. (2026) studied this question.
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