23 citations · 36 across the 4 of their papers we have counts for
4 papers
Robust quantum dots charge autotuning using neural network uncertainty
Victor Yon, Bastien Galaup, Claude Rohrbacher +10
This study presents a machine-learning-based procedure to automate the charge tuning of semiconductor spin qubits with minimal human intervention, addressing one of the significant…
Miniaturizing neural networks for charge state autotuning in quantum dots
Stefanie Czischek, Victor Yon, Marc-Antoine Genest +8
A key challenge in scaling quantum computers is the calibration and control of multiple qubits. In solid-state quantum dots, the gate voltages required to stabilize quantized charg…
Oxygen vacancy engineering of TaOx-based resistive memories by Zr doping for improved variability and synaptic behavior
Joao H. Quintino Palhares, Yann Beilliard, Fabien Alibart +5
Resistive switching devices are promising emerging non-volatile memories. However, one of the biggest challenges for resistive switching (RS) memory applications is the device-to-d…
Conductive filament evolution dynamics revealed by cryogenic (1.5 K) multilevel switching of CMOS-compatible Al2O3/TiO2 resistive memories
Yann Beilliard, François Paquette, Frédéric Brousseau +3
This study demonstrates multilevel switching at 1.5 K of Al2O3/TiO2-x resistive memory devices fabricated with CMOS-compatible processes and materials. The I-V characteristics exhi…