Memristor-based cryogenic programmable DC sources for scalable in-situ quantum-dot control. - Pierre-Antoine Mouny; Yann Beilliard; Sébastien Graveline; Marc-Antoine Roux; Abdelouadoud El Mesoudy; Raphaël Dawant; Pierre Gliech; Serge Ecoffey; Fabien Alibart; Michel Pioro-Ladriere; Dominique Drouin (CoRR, 2022)

Memristor-based cryogenic programmable DC sources supporting measurement data. - Pierre-Antoine Mouny (IEEE DataPort, 2022)

Hardware-aware Training Techniques for Improving Robustness of Ex-Situ Neural Network Transfer onto Passive TiO2 ReRAM Crossbars. - Philippe Drolet; Raphaël Dawant; Victor Yon; Pierre-Antoine Mouny; Matthieu Valdenaire; Javier Arias-Zapata; Pierre Gliech; Sean U. N. Wood; Serge Ecoffey; Fabien Alibart; Yann Beilliard; Dominique Drouin (CoRR, 2023)

A Cryogenic Memristive Neural Decoder for Fault-tolerant Quantum Error Correction. - Frédéric Marcotte; Pierre-Antoine Mouny; Victor Yon; Gebremedhin A. Dagnew; Bohdan Kulchytskyy; Sophie Rochette; Yann Beilliard; Dominique Drouin; Pooya Ronagh (CoRR, 2023)

Analog programming of CMOS-compatible Al2O3/TiO2-x memristor at 4.2 K after metal-insulator transition suppression by cryogenic reforming. - Pierre-Antoine Mouny; Raphaël Dawant; Bastien Galaup; Serge Ecoffey; Michel Pioro-Ladriere; Yann Beilliard; Dominique Drouin (CoRR, 2023)

Towards a Cryogenic CMOS-Memristor Neural Decoder for Quantum Error Correction. - Pierre-Antoine Mouny; Maher Benhouria; Victor Yon; Patrick Dufour; Linxiang Huang; Yann Beilliard; Sophie Rochette; Dominique Drouin; Pooya Ronagh (QCE, 2024)

Towards scalable cryogenic quantum dot biasing using memristor-based DC sources. - Pierre-Antoine Mouny; Raphaël Dawant; Patrick Dufour; Matthieu Valdenaire; Serge Ecoffey; Michel Pioro-Ladriere; Yann Beilliard; Dominique Drouin (CoRR, 2024)