113 citations · 501 across the 16 of their papers we have counts for
16 papers
Sources of nonlinearity in the response of a driven nano-electromechanical resonator
Sofia Sevitz, Kushagra Aggarwal, Jorge Tabanera-Bravo +9
Nanoelectromechanical resonators provide an ideal platform for investigating the interplay between electron transport and nonlinear mechanical motion. Externally driven suspended c…
Coupling a single spin to high-frequency motion
Federico Fedele, Federico Cerisola, Lea Bresque +12
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, a…
All rf-based tuning algorithm for quantum devices using machine learning
Barnaby van Straaten, Federico Fedele, Florian Vigneau +7
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 mult…
Stability of long-sustained oscillations induced by electron tunneling
Jorge Tabanera-Bravo, Florian Vigneau, Juliette Monsel +9
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 inte…
Probing quantum devices with radio-frequency reflectometry
Florian Vigneau, Federico Fedele, Anasua Chatterjee +5
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…
Identifying Pauli spin blockade using deep learning
Jonas Schuff, Dominic T. Lennon, Simon Geyer +9
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 presen…
Bridging the reality gap in quantum devices with physics-aware machine learning
D. L. Craig, H. Moon, F. Fedele +9
The discrepancies between reality and simulation impede the optimisation and scalability of solid-state quantum devices. Disorder induced by the unpredictable distribution of mater…
Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning
B. Severin, D. T. Lennon, L. C. Camenzind +20
The potential of Si and SiGe-based devices for the scaling of quantum circuits is tainted by device variability. Each device needs to be tuned to operation conditions. We give a ke…
Ultrastrong coupling between electron tunneling and mechanical motion
Florian Vigneau, Juliette Monsel, Jorge Tabanera +8
The ultrastrong coupling of single-electron tunneling and nanomechanical motion opens exciting opportunities to explore fundamental questions and develop new platforms for quantum…
Deep Reinforcement Learning for Efficient Measurement of Quantum Devices
V. Nguyen, S. B. Orbell, D. T. Lennon +9
Deep reinforcement learning is an emerging machine learning approach which can teach a computer to learn from their actions and rewards similar to the way humans learn from experie…
Quantum device fine-tuning using unsupervised embedding learning
N. M. van Esbroeck, D. T. Lennon, H. Moon +8
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 the…
Machine learning enables completely automatic tuning of a quantum device faster than human experts
H. Moon, D. T. Lennon, J. Kirkpatrick +10
Device variability is a bottleneck for the scalability of semiconductor quantum devices. Increasing device control comes at the cost of a large parameter space that has to be explo…
Germanium quantum well Josephson field effect transistors and interferometers
Florian Vigneau, Raisei Mizokuchi, Dante Colao Zanuz +8
Hybrid superconductor-semiconductor structures attract increasing attention owing to a variety of potential applications in quantum computing devices. They can serve to the realiza…
Radio-frequency reflectometry of a quantum dot using an ultra-low-noise SQUID amplifier
F. J. Schupp, F. Vigneau, Y. Wen +12
Fault-tolerant spin-based quantum computers will require fast and accurate qubit readout. This can be achieved using radio-frequency reflectometry given sufficient sensitivity to t…
Ballistic one-dimensional holes with strong g-factor anisotropy in germanium
R. Mizokuchi, R. Maurand, F. Vigneau +2
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 observ…
Magneto-transport Subbands Spectroscopy in InAs Nanowires
Florian Vigneau, Vladimir Prudkovkiy, Ivan Duchemin +6
We report on magneto-transport measurements in InAs nanowires under large magnetic field (up to 55T), providing a direct spectroscopy of the 1D electronic band structure. Large mod…