Florian Vigneau
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View article: Coupling a single spin to the motion of a carbon nanotube
Coupling a single spin to the motion of a carbon nanotube Open
The ability to couple a solitary spin to high-frequency motion is a crucial advancement for a range of applications, including quantum sensing, intermediate and long-distance spin-spin coupling, and quantum information processing. Although…
View article: All-rf-based coarse-tuning algorithm for quantum devices using machine learning
All-rf-based coarse-tuning algorithm for quantum devices using machine learning Open
Radio-frequency measurements could satisfy DiVincenzo’s readout criterion in future large-scale solid-state quantum processors, as they allow for high bandwidths and frequency multiplexing. However, the scalability potential of this readou…
View article: Sources of nonlinearity in the response of a driven nano-electromechanical resonator
Sources of nonlinearity in the response of a driven nano-electromechanical resonator Open
Nanoelectromechanical resonators provide an ideal platform for investigating the interplay between electron transport and nonlinear mechanical motion. Externally driven suspended carbon nanotubes, containing an electrostatically defined qu…
View article: Quantum error detection in qubit-resonator star architecture
Quantum error detection in qubit-resonator star architecture Open
Achieving industrial quantum advantage is unlikely without the use of quantum error correction (QEC). Other QEC codes beyond surface code are being experimentally studied, such as color codes and quantum Low-Density Parity Check (qLDPC) co…
View article: A Superconducting Qubit-Resonator Quantum Processor with Effective All-to-All Connectivity
A Superconducting Qubit-Resonator Quantum Processor with Effective All-to-All Connectivity Open
In this work we introduce a superconducting quantum processor architecture that uses a transmission-line resonator to implement effective all-to-all connectivity between six transmon qubits. This architecture can be used as a test-bed for …
View article: Coupling a single spin to the motion of a carbon nanotube
Coupling a single spin to the motion of a carbon nanotube Open
The ability to couple a solitary spin to high-frequency motion would constitute a crucial advancement for a range of applications, including quantum sensing, intermediate and long-distance spin-spin coupling, and quantum information proces…
View article: Stability of long-sustained oscillations induced by electron tunneling
Stability of long-sustained oscillations induced by electron tunneling Open
Self-oscillations are the result of an efficient mechanism generating periodic motion from a constant power source. In quantum devices, these oscillations may arise due to the interaction between single electron dynamics and mechanical mot…
View article: Coupling a single spin to high-frequency motion
Coupling a single spin to high-frequency motion Open
Coupling a single spin to high-frequency mechanical motion is a fundamental bottleneck of applications such as quantum sensing, intermediate and long-distance spin-spin coupling, and classical and quantum information processing. Previous e…
View article: Bridging the Reality Gap in Quantum Devices with Physics-Aware Machine Learning
Bridging the Reality Gap in Quantum Devices with Physics-Aware Machine Learning Open
The discrepancies between reality and simulation impede the optimization and scalability of solid-state quantum devices. Disorder induced by the unpredictable distribution of material defects is one of the major contributions to the realit…
View article: Identifying Pauli spin blockade using deep learning
Identifying Pauli spin blockade using deep learning Open
Pauli spin blockade (PSB) can be employed as a great resource for spin qubit initialisation and readout even at elevated temperatures but it can be difficult to identify. We present a machine learning algorithm capable of automatically ide…
View article: All rf-based tuning algorithm for quantum devices using machine learning
All rf-based tuning algorithm for quantum devices using machine learning Open
Radio-frequency measurements could satisfy DiVincenzo's readout criterion in future large-scale solid-state quantum processors, as they allow for high bandwidths and frequency multiplexing. However, the scalability potential of this readou…
View article: Dataset for 'Identifying Pauli spin blockade using deep learning'
Dataset for 'Identifying Pauli spin blockade using deep learning' Open
This data set contains the raw and processed data used in the publication 'Identifying Pauli spin blockade using deep learning' (https://arxiv.org/pdf/2202.00574.pdf). This also includes trained neural networks, and evaluation results from…
View article: Dataset for 'Identifying Pauli spin blockade using deep learning'
Dataset for 'Identifying Pauli spin blockade using deep learning' Open
This data set contains the raw and processed data used in the publication 'Identifying Pauli spin blockade using deep learning' (https://arxiv.org/pdf/2202.00574.pdf). This also includes trained neural networks, and evaluation results from…
View article: Probing quantum devices with radio-frequency reflectometry
Probing quantum devices with radio-frequency reflectometry Open
Many important phenomena in quantum devices are dynamic, meaning that they cannot be studied using time-averaged measurements alone. Experiments that measure such transient effects are collectively known as fast readout. One of the most us…
View article: Ultrastrong coupling between electron tunneling and mechanical motion
Ultrastrong coupling between electron tunneling and mechanical motion Open
The ultrastrong coupling of single-electron tunneling and nanomechanical motion opens exciting opportunities to explore fundamental questions and develop new platforms for quantum technologies. We have measured and modeled this electromech…
View article: All rf-based tuning algorithm for quantum devices using machine learning
All rf-based tuning algorithm for quantum devices using machine learning Open
Radio-frequency measurements could satisfy DiVincenzo's readout criterion in future large-scale solid-state quantum processors, as they allow for high bandwidths and frequency multiplexing. However, the scalability potential of this readou…
View article: Stability of long-sustained oscillations induced by electron tunneling
Stability of long-sustained oscillations induced by electron tunneling Open
Self-oscillations are the result of an efficient mechanism generating periodic motion from a constant power source. In quantum devices, these oscillations may arise due to the interaction between single electron dynamics and mechanical mot…
View article: Identifying Pauli spin blockade using deep learning
Identifying Pauli spin blockade using deep learning Open
Pauli spin blockade (PSB) can be employed as a great resource for spin qubit initialisation and readout even at elevated temperatures but it can be difficult to identify. We present a machine learning algorithm capable of automatically ide…
View article: Probing quantum devices with radio-frequency reflectometry
Probing quantum devices with radio-frequency reflectometry Open
Many important phenomena in quantum devices are dynamic, meaning that they cannot be studied using time-averaged measurements alone. Experiments that measure such transient effects are collectively known as fast readout. One of the most us…
View article: Identifying Pauli spin blockade using deep learning
Identifying Pauli spin blockade using deep learning Open
Pauli spin blockade (PSB) can be employed as a great resource for spin qubit initialisation and readout even at elevated temperatures but it can be difficult to identify. We present a machine learning algorithm capable of automatically ide…
View article: Bridging the reality gap in quantum devices with physics-aware machine learning
Bridging the reality gap in quantum devices with physics-aware machine learning Open
The discrepancies between reality and simulation impede the optimisation and scalability of solid-state quantum devices. Disorder induced by the unpredictable distribution of material defects is one of the major contributions to the realit…
View article: Erratum: “Sensitive radiofrequency readout of quantum dots using an ultra-low-noise SQUID amplifier” [J. Appl. Phys. 127, 244503 (2020)]
Erratum: “Sensitive radiofrequency readout of quantum dots using an ultra-low-noise SQUID amplifier” [J. Appl. Phys. 127, 244503 (2020)] Open
First Page
View article: Quantum device fine-tuning using unsupervised embedding learning
Quantum device fine-tuning using unsupervised embedding learning Open
Quantum devices with a large number of gate electrodes allow for precise control of device parameters. This capability is hard to fully exploit due to the complex dependence of these parameters on applied gate voltages. We experimentally d…
View article: Germanium Quantum-Well Josephson Field-Effect Transistors and Interferometers
Germanium Quantum-Well Josephson Field-Effect Transistors and Interferometers Open
Hybrid superconductor-semiconductor structures attract increasing attention owing to a variety of potential applications in quantum computing devices. They can serve the realization of topological superconducting systems as well as gate-tu…
View article: Ballistic One-Dimensional Holes with Strong <i>g</i>-Factor Anisotropy in Germanium
Ballistic One-Dimensional Holes with Strong <i>g</i>-Factor Anisotropy in Germanium Open
We report experimental evidence of ballistic hole transport in one-dimensional quantum wires gate-defined in a strained SiGe/Ge/SiGe quantum well. At zero magnetic field, we observe conductance plateaus at integer multiples of 2 e2/ h. At …
View article: Anisotropic transport properties of quasiballistic InAs nanowires under high magnetic field
Anisotropic transport properties of quasiballistic InAs nanowires under high magnetic field Open
The magnetoconductance of a long channel InAs nanowire based field effect transistor in the quasiballistic regime under large magnetic field is investigated. The quasi-1D nanowire is fully characterized by a bias voltage spectroscopy and m…