Publications from the Quantum Device Lab, Department of Engineering Science, University of Oxford
Publications
Here are some of our publications
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence
Vaidhyanathan P, Papatheodorou A, Mitchison MT, Ares N & Havoutis I (2025)
Automated long-range compensation of an rf quantum dot sensor
Hickie J, van Straaten B, Fedele F, Jirovec D, Ballabio A et al. (2024), Physical Review Applied, 22(6), 064026
BibTeX
@article{automatedlongra-2024/12,
title={Automated long-range compensation of an rf quantum dot sensor},
author={Hickie J, van Straaten B, Fedele F, Jirovec D, Ballabio A et al.},
journal={Physical Review Applied},
volume={22},
pages={064026},
publisher={American Physical Society (APS)},
year = "2024"
}
Differentiable master equation solver for quantum device characterization
Craig DL, Ares N & Gauger EM (2024), Physical Review Research, 6(4)
QArray: A GPU-accelerated constant capacitance model simulator for large quantum dot arrays
van Straaten B, Hickie J, Schorling L, Schuff J, Fedele F et al. (2024), SciPost Physics Codebases, 035-035
BibTeX
@article{qarrayagpuaccel-2024/10,
title={QArray: A GPU-accelerated constant capacitance model simulator for large quantum dot arrays},
author={van Straaten B, Hickie J, Schorling L, Schuff J, Fedele F et al.},
journal={SciPost Physics Codebases},
pages={035-035},
publisher={Stichting SciPost},
year = "2024"
}
Cross-architecture tuning of silicon and SiGe-based quantum devices using machine learning
Severin B, Lennon DT, Camenzind LC, Vigneau F, Fedele F et al. (2024), Scientific Reports, 14(1)
BibTeX
@article{crossarchitectu-2024/7,
title={Cross-architecture tuning of silicon and SiGe-based quantum devices using machine learning},
author={Severin B, Lennon DT, Camenzind LC, Vigneau F, Fedele F et al.},
journal={Scientific Reports},
volume={14},
number={17281},
publisher={Nature Research},
year = "2024"
}
Looping in the human: collaborative and explainable Bayesian optimization
Adachi M, Planden B, Howey DA, Osborne MA, Orbell S et al. (2024), Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, 505-513
BibTeX
@inproceedings{loopinginthehum-2024/4,
title={Looping in the human: collaborative and explainable Bayesian optimization},
author={Adachi M, Planden B, Howey DA, Osborne MA, Orbell S et al.},
booktitle={27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024)},
pages={505-513},
year = "2024"
}
Stability of long-sustained oscillations induced by electron tunneling
Tabanera-Bravo J, Vigneau F, Monsel J, Aggarwal K, Bresque L et al. (2024), Physical Review Research, 6(1)
BibTeX
@article{stabilityoflong-2024/3,
title={Stability of long-sustained oscillations induced by electron tunneling},
author={Tabanera-Bravo J, Vigneau F, Monsel J, Aggarwal K, Bresque L et al.},
journal={Physical Review Research},
volume={6},
number={013291},
publisher={American Physical Society},
year = "2024"
}
High-fidelity spin qubit operation and algorithmic initialization above 1 K
Huang JY, Su RY, Lim WH, Feng M, van Straaten B et al. (2024), Nature, 627(8005), 772-777
Bridging the reality gap in quantum devices with physics-aware machine learning
Craig DL, Moon H, Fedele F, Lennon DT, van Straaten B et al. (2024), Physical Review X, 14(1)
BibTeX
@article{bridgingthereal-2024/1,
title={Bridging the reality gap in quantum devices with physics-aware machine learning},
author={Craig DL, Moon H, Fedele F, Lennon DT, van Straaten B et al.},
journal={Physical Review X},
volume={14},
number={11001},
publisher={American Physical Society},
year = "2024"
}
Identifying Pauli spin blockade using deep learning
Schuff J, Lennon D, Geyer S, Craig D, Fedele F et al. (2023), Quantum, 7
BibTeX
@article{identifyingpaul-2023/8,
title={Identifying Pauli spin blockade using deep learning},
author={Schuff J, Lennon D, Geyer S, Craig D, Fedele F et al.},
journal={Quantum},
volume={7},
number={1077},
publisher={Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften},
year = "2023"
}
Learning quantum systems
Gebhart V, Santagati R, Gentile AA, Gauger EM, Craig D et al. (2023), Nature Reviews Physics, 5(3), 141-156
Probing quantum devices with radio-frequency reflectometry
Vigneau F, Fedele F, Chatterjee A, Reilly D, Kuemmeth F et al. (2023), Applied Physics Reviews, 10(2)
BibTeX
@article{probingquantumd-2023/2,
title={Probing quantum devices with radio-frequency reflectometry},
author={Vigneau F, Fedele F, Chatterjee A, Reilly D, Kuemmeth F et al.},
journal={Applied Physics Reviews},
volume={10},
number={021305 },
publisher={American Institute of Physics},
year = "2023"
}
Probing quantum devices with radio-frequency reflectometry
Vigneau F, Fedele F, Chatterjee A, Reilly D, Kuemmeth F et al. (2023), APPLIED PHYSICS REVIEWS, 10(2)
Ultrastrong coupling between electron tunneling and mechanical motion
Vigneau F, Monsel J, Tabanera J, Aggarwal K, Bresque L et al. (2022), Physical Review Research, 4(4)
BibTeX
@article{ultrastrongcoup-2022/12,
title={Ultrastrong coupling between electron tunneling and mechanical motion},
author={Vigneau F, Monsel J, Tabanera J, Aggarwal K, Bresque L et al.},
journal={Physical Review Research},
volume={4},
number={043168},
publisher={American Physical Society},
year = "2022"
}
Dynamics of hole singlet-triplet qubits with large g-factor differences
Jirovec D, Mutter PM, Hofmann A, Crippa A, Rychetsky M et al. (2022), Physical Review Letters, 128(12)
BibTeX
@article{dynamicsofholes-2022/3,
title={Dynamics of hole singlet-triplet qubits with large g-factor differences},
author={Jirovec D, Mutter PM, Hofmann A, Crippa A, Rychetsky M et al.},
journal={Physical Review Letters},
volume={128},
number={126803},
publisher={American Physical Society},
year = "2022"
}
Bridging the reality gap in quantum devices with physics-aware machine learning
Craig DL, Moon H, Fedele F, Lennon DT, Van Straaten B et al. (2021)
Radio-frequency characterization of a supercurrent transistor made of a carbon nanotube
Mergenthaler M, Schupp F, Nersisyan A, Ares N, Baumgartner A et al. (2021), Materials for Quantum Technology, 1(3)
BibTeX
@article{radiofrequencyc-2021/9,
title={Radio-frequency characterization of a supercurrent transistor made of a carbon nanotube},
author={Mergenthaler M, Schupp F, Nersisyan A, Ares N, Baumgartner A et al.},
journal={Materials for Quantum Technology},
volume={1},
number={035003},
publisher={IOP Publishing},
year = "2021"
}
Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning
Severin B, Lennon DT, Camenzind LC, Vigneau F, Fedele F et al. (2021)