4 citations · 11 across the 6 of their papers we have counts for
8 papers
Gate-defined quantum dot and charge noise analysis in a Forksheet transistor
Dominic Leclerc, Claude Rohrbacher, Alexis Morel +6
We report the cryogenic characterization of a 14-nm nMOS Forksheet transistor down to 10 mK. We demonstrate that the device retains transistor operation with improved characteristi…
Quantum Simulation of Si/SiGe Devices with Experimentally Calibrated Micromagnet Effects
Andrii Sokolov, Conor Power, Mathieu Moras +7
Silicon-based spin qubits in Si/SiGe heterostructures are a leading platform for scalable quantum computing, yet bridging the gap between theoretical computer-aided design(CAD) mod…
Multimode RF Reflectometry for Spin Qubit Readout and Device Characterization
Joffrey Rivard, Alexis Morel, Olivier Romain +10
We introduce a multimode superconducting inductor architecture that enables radio-frequency reflectometry at multiple discrete frequencies up to 2 GHz, addressing limitations of co…
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…
Persistence of Entangled States and High Fidelity Quantum Gate Operations in Si/SiGe Spin Qubits at High Temperature
S. Amitonov, A. Aprà, M. Asker +20
We characterize single- and two-qubit operations in a SiGe quantum dot array, from the perspective of its quantum information processing capabilities. The analysis includes rigorou…
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…
Dual Operation of Gate-All-Around Silicon Nanowires at Cryogenic Temperatures: FET and Quantum Dot
C. Rohrbacher, J. Rivard, R. Ritzenthaler +5
As CMOS structures are envisioned to host silicon spin qubits, and for co-integrating quantum systems with their classical control blocks, the cryogenic behaviour of such structure…