23 citations · 38 across the 7 of their papers we have counts for
7 papers
Rapid Autotuning of a SiGe Quantum Dot into the Single-Electron Regime with Machine Learning and RF-Reflectometry FPGA-Based Measurements
Marc-Antoine Roux, Joffrey Rivard, Victor Yon +18
Spin qubits need to operate within a very precise voltage space around charge state transitions to achieve high-fidelity gates. However, the stability diagrams that allow the ident…
Towards a Cryogenic CMOS-Memristor Neural Decoder for Quantum Error Correction
Pierre-Antoine Mouny, Maher Benhouria, Victor Yon +6
This paper presents a novel approach utilizing a scalable neural decoder application-specific integrated circuit (ASIC) based on metal oxide memristors in a 180nm CMOS technology.…
Experimental online quantum dots charge autotuning using neural networks
Victor Yon, Bastien Galaup, Claude Rohrbacher +11
Spin-based semiconductor qubits hold promise for scalable quantum computing, yet they require reliable autonomous calibration procedures. This study presents an experimental demons…
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…
A Cryogenic Memristive Neural Decoder for Fault-tolerant Quantum Error Correction
Victor Yon, Frédéric Marcotte, Pierre-Antoine Mouny +6
Neural decoders for quantum error correction (QEC) rely on neural networks to classify syndromes extracted from error correction codes and find appropriate recovery operators to pr…
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…
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…