activity
20072024
most citedObservation of Highly Nonlinear Resistive Switching of Al2O3/TiO2-x Memristors at Cryogenic Temperature (1.5 K)

28 citations · 51 across the 9 of their papers we have counts for

collaborators

9 papers

cs.ET2024★ 2 cited

Towards scalable cryogenic quantum dot biasing using memristor-based DC sources

Pierre-Antoine Mouny, Raphaël Dawant, Patrick Dufour +5

Cryogenic memristor-based DC sources offer a promising avenue for in situ biasing of quantum dot arrays. In this study, we present experimental results and discuss the scaling pote…

physics.app-ph2023

Analog programming of CMOS-compatible AlO/TiO memristor at 4.2 K after metal-insulator transition suppression by cryogenic reforming

Pierre-Antoine Mouny, Raphaël Dawant, Bastien Galaup +4

The exploration of memristors' behavior at cryogenic temperatures has become crucial due to the growing interest in quantum computing and cryogenic electronics. In this context, ou…

cs.AR2023★ 1 cited

Hardware-aware Training Techniques for Improving Robustness of Ex-Situ Neural Network Transfer onto Passive TiO2 ReRAM Crossbars

Philippe Drolet, Raphaël Dawant, Victor Yon +9

Passive resistive random access memory (ReRAM) crossbar arrays, a promising emerging technology used for analog matrix-vector multiplications, are far superior to their active (1T1…

cs.AR2022★ 10 cited

Memristor-based cryogenic programmable DC sources for scalable in-situ quantum-dot control

Pierre-Antoine Mouny, Yann Beilliard, Sébastien Graveline +8

Current quantum systems based on spin qubits are controlled by classical electronics located outside the cryostat at room temperature. This approach creates a major wiring bottlene…

cs.ET2021

Fully CMOS-compatible passive TiO2-based memristor crossbars for in-memory computing

Abdelouadoud El Mesoudy, Gwénaëlle Lamri, Raphaël Dawant +7

Brain-inspired computing and neuromorphic hardware are promising approaches that offer great potential to overcome limitations faced by current computing paradigms based on traditi…

cs.ET2020★ 1 cited

AIDX: Adaptive Inference Scheme to Mitigate State-Drift in Memristive VMM Accelerators

Tony Liu, Amirali Amirsoleimani, Fabien Alibart +3

An adaptive inference method for crossbar (AIDX) is presented based on an optimization scheme for adjusting the duration and amplitude of input voltage pulses. AIDX minimizes the l…