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Publications from the Quantum Device Lab, Department of Engineering Science, University of Oxford

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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)

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@misc{metasymasymplec-2025/2,
  title={MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence},
  author={Vaidhyanathan P, Papatheodorou A, Mitchison MT, Ares N & Havoutis I},
  year = "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

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@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)

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@article{differentiablem-2024/10,
  title={Differentiable master equation solver for quantum device characterization},
  author={Craig DL, Ares N & Gauger EM},
  journal={Physical Review Research},
  volume={6},
  year = "2024"
}

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

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@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)

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@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

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@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)

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@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

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@article{highfidelityspi-2024/3,
  title={High-fidelity spin qubit operation and algorithmic initialization above 1 K},
  author={Huang JY, Su RY, Lim WH, Feng M, van Straaten B et al.},
  journal={Nature},
  volume={627},
  pages={772-777},
  publisher={Springer Nature},
  year = "2024"
}

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)

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@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"
}

Information Flows in Nanomachines

Parrondo JMR, Tabanera-Bravo J, Fedele F & Ares N (2024), 1-31

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@misc{informationflow-2024/,
  title={Information Flows in Nanomachines},
  author={Parrondo JMR, Tabanera-Bravo J, Fedele F & Ares N},
  year = "2024"
}

Identifying Pauli spin blockade using deep learning

Schuff J, Lennon D, Geyer S, Craig D, Fedele F et al. (2023), Quantum, 7

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@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

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@article{learningquantum-2023/3,
  title={Learning quantum systems},
  author={Gebhart V, Santagati R, Gentile AA, Gauger EM, Craig D et al.},
  journal={Nature Reviews Physics},
  volume={5},
  pages={141-156},
  publisher={Springer Nature},
  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)

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@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)

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@article{probingquantumd-2023/,
  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={ARTN 021305},
  year = "2023"
}

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)

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@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)

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@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"
}

Identifying Pauli spin blockade using deep learning

Schuff J, Lennon DT, Geyer S, Craig DL, Fedele F et al. (2022)

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@misc{identifyingpaul-2022/2,
  title={Identifying Pauli spin blockade using deep learning},
  author={Schuff J, Lennon DT, Geyer S, Craig DL, Fedele F et al.},
  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)

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@misc{bridgingthereal-2021/11,
  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.},
  year = "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)

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@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)

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@misc{crossarchitectu-2021/7,
  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.},
  year = "2021"
}