most citedTowards scalable cryogenic quantum dot biasing using memristor-based DC sources

2 citations · 4 across the 4 of their papers we have counts for

collaborators

4 papers

cs.ET20242 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.AR20231 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…

eess.SY20231 cited

A tunable and versatile 28nm FD-SOI crossbar output circuit for low power analog SNN inference with eNVM synapses

Joao Henrique Quintino Palhares, Yann Beilliard, Jury Sandrini +7

In this work we report a study and a co-design methodology of an analog SNN crossbar output circuit designed in a 28nm FD-SOI technology node that comprises a tunable current atten…