Abstract
To implement in-cryostat neural processing in next-generation computing platforms, analog synaptic devices based on resistive random-access memories (RRAMs) should be operated at cryogenic temperatures (<123 K). We propose a cryogenic RRAM synapse based on an HfOy/HfOx stack. The RRAM exhibited gradual switching with a highly linear and symmetric update at room temperature. However, at 90 K, electric field (E-field)-driven ion migration was dominant during the set operation. This abruptly formed a conductive filament (CF), causing a nonlinear update. To control the CF evolution, we investigated the link between the reset operation and the following set dynamics via real-time transient current analysis. Two distinct reset modes were observed depending on the reset voltage step: (i) fully disconnected and (ii) partially ruptured CF. Particularly, when the CF remained connected in the high-resistance state, the local E-field across the RRAM stack was moderated. Therefore, cryo-RRAM at 90 K yielded a linearly updated current under identical 50 ns pulses and reliable multilevel retention.
| Original language | English |
|---|---|
| Pages (from-to) | 61-64 |
| Number of pages | 4 |
| Journal | IEEE Electron Device Letters |
| Volume | 47 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2026 |
Keywords
- Quantum computing
- RRAM
- cryogenic temperature
- neural network
- synaptic device
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