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Showing 50 publications by Natalia Ares

Coupling a single spin to the motion of a carbon nanotube

Fedele F, Cerisola F, Bresque L, Vigneau F, Monsel J et al. (2025), Nature Communications

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@article{couplingasingle-2025/12,
  title={Coupling a single spin to the motion of a carbon nanotube},
  author={Fedele F, Cerisola F, Bresque L, Vigneau F, Monsel J et al.},
  journal={Nature Communications},
  publisher={Springer Nature},
  year = "2025"
}

QuantGraph: A Receding-Horizon Quantum Graph Solver

Vaidhyanathan P, Papatheodorou A, Arvidsson-Shukur DRM, Mitchison MT, Ares N et al. (2025)

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@misc{quantgrapharece-2025/12,
  title={QuantGraph: A Receding-Horizon Quantum Graph Solver},
  author={Vaidhyanathan P, Papatheodorou A, Arvidsson-Shukur DRM, Mitchison MT, Ares N et al.},
  year = "2025"
}

All-rf-based coarse-tuning algorithm for quantum devices using machine learning

van Straaten B, Fedele F, Vigneau F, Hickie J, Jirovec D et al. (2025), Physical Review Applied, 24(5), 054030-054030

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@article{allrfbasedcoars-2025/11,
  title={All-rf-based coarse-tuning algorithm for quantum devices using machine learning},
  author={van Straaten B, Fedele F, Vigneau F, Hickie J, Jirovec D et al.},
  journal={Physical Review Applied},
  volume={24},
  pages={054030-054030},
  publisher={American Physical Society (APS)},
  year = "2025"
}

Entropic Costs of Extracting Classical Ticks from a Quantum Clock

Wadhia V, Meier F, Fedele F, Silva R, Nurgalieva N et al. (2025), Physical Review Letters, 135(20), 200407

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@article{entropiccostsof-2025/11,
  title={Entropic Costs of Extracting Classical Ticks from a Quantum Clock},
  author={Wadhia V, Meier F, Fedele F, Silva R, Nurgalieva N et al.},
  journal={Physical Review Letters},
  volume={135},
  pages={200407},
  publisher={American Physical Society (APS)},
  year = "2025"
}

Automatic tuning of a donor in a silicon quantum device using machine learning

Severin B, Botzem T, Fedele F, Yu X, Wilhelm B et al. (2025)

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@misc{automatictuning-2025/11,
  title={Automatic tuning of a donor in a silicon quantum device using machine learning},
  author={Severin B, Botzem T, Fedele F, Yu X, Wilhelm B et al.},
  year = "2025"
}

Virtual Gates Enabled by Digital Surrogate of Quantum Dot Devices

Lidiak A, Swain J, Craig DL, Hickie J, Yang Y et al. (2025)

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@misc{virtualgatesena-2025/10,
  title={Virtual Gates Enabled by Digital Surrogate of Quantum Dot Devices},
  author={Lidiak A, Swain J, Craig DL, Hickie J, Yang Y et al.},
  year = "2025"
}

Sources of nonlinearity in the response of a driven nano-electromechanical resonator

Sevitz S, Aggarwal K, Tabanera-Bravo J, Monsel J, Vigneau F et al. (2025)

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@misc{sourcesofnonlin-2025/9,
  title={Sources of nonlinearity in the response of a driven nano-electromechanical resonator},
  author={Sevitz S, Aggarwal K, Tabanera-Bravo J, Monsel J, Vigneau F et al.},
  year = "2025"
}

Compromise-free scaling of qubit speed and coherence.

Carballido MJ, Svab S, Eggli RS, Patlatiuk T, Chevalier Kwon P et al. (2025), Nat Commun, 16(1), 7616

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@article{compromisefrees-2025/8,
  title={Compromise-free scaling of qubit speed and coherence.},
  author={Carballido MJ, Svab S, Eggli RS, Patlatiuk T, Chevalier Kwon P et al.},
  journal={Nat Commun},
  volume={16},
  pages={7616},
  year = "2025"
}

End-to-End Analysis of Charge Stability Diagrams with Transformers

Marchand R, Schorling L, Carlsson C, Schuff J, van Straaten B et al. (2025)

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@misc{endtoendanalysi-2025/8,
  title={End-to-End Analysis of Charge Stability Diagrams with Transformers},
  author={Marchand R, Schorling L, Carlsson C, Schuff J, van Straaten B et al.},
  year = "2025"
}

Rapid optimal work extraction from a quantum-dot information engine

Aggarwal K, Rolandi A, Yang Y, Hickie J, Jirovec D et al. (2025), Physical Review Research, 7(3), l032017-l032017

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@article{rapidoptimalwor-2025/7,
  title={Rapid optimal work extraction from a quantum-dot information engine},
  author={Aggarwal K, Rolandi A, Yang Y, Hickie J, Jirovec D et al.},
  journal={Physical Review Research},
  volume={7},
  pages={l032017-l032017},
  publisher={American Physical Society (APS)},
  year = "2025"
}

Extra cost of erasure due to quantum lifetime broadening

Dunlop J, Cerisola F, Monsel J, Sevitz S, Tabanera-Bravo J et al. (2025), Physical Review A, 112(1), l010601-l010601

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@article{extracostoferas-2025/7,
  title={Extra cost of erasure due to quantum lifetime broadening},
  author={Dunlop J, Cerisola F, Monsel J, Sevitz S, Tabanera-Bravo J et al.},
  journal={Physical Review A},
  volume={112},
  pages={l010601-l010601},
  publisher={American Physical Society (APS)},
  year = "2025"
}

Learning Physical Systems: Symplectification via Gauge Fixing in Dirac Structures

Papatheodorou A, Vaidhyanathan P, Ares N & Havoutis I (2025)

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@misc{learningphysica-2025/6,
  title={Learning Physical Systems: Symplectification via Gauge Fixing in Dirac Structures},
  author={Papatheodorou A, Vaidhyanathan P, Ares N & Havoutis I},
  year = "2025"
}

Quantum computing and artificial intelligence: status and perspectives

Acampora G, Ambainis A, Ares N, Banchi L, Bhardwaj P et al. (2025)

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@misc{quantumcomputin-2025/6,
  title={Quantum computing and artificial intelligence: status and perspectives},
  author={Acampora G, Ambainis A, Ares N, Banchi L, Bhardwaj P et al.},
  year = "2025"
}

Automated All-RF Tuning for Spin Qubit Readout and Control

Carlsson C, Saez-Mollejo J, Fedele F, Calcaterra S, Chrastina D et al. (2025)

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@misc{automatedallrft-2025/6,
  title={Automated All-RF Tuning for Spin Qubit Readout and Control},
  author={Carlsson C, Saez-Mollejo J, Fedele F, Calcaterra S, Chrastina D et al.},
  year = "2025"
}

Meta-learning characteristics and dynamics of quantum systems

Schorling L, Vaidhyanathan P, Schuff J, Carballido MJ, Zumbühl D et al. (2025)

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@misc{metalearningcha-2025/3,
  title={Meta-learning characteristics and dynamics of quantum systems},
  author={Schorling L, Vaidhyanathan P, Schuff J, Carballido MJ, Zumbühl D et al.},
  year = "2025"
}

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"
}

Extra cost of erasure due to quantum lifetime broadening

Dunlop J, Cerisola F, Monsel J, Sevitz S, Tabanera-Bravo J et al. (2024)

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@misc{extracostoferas-2024/10,
  title={Extra cost of erasure due to quantum lifetime broadening},
  author={Dunlop J, Cerisola F, Monsel J, Sevitz S, Tabanera-Bravo J et al.},
  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"
}

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)

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@article{qarrayagpuaccel-2024/5,
  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={},
  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"
}

Deep reinforcement learning for efficient measurement of quantum devices

Nguyen V, Orbell S, Lennon D, Moon H, Vigneau F et al. (2021), npj Quantum Information, 7(1)

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@article{deepreinforceme-2021/6,
  title={Deep reinforcement learning for efficient measurement of quantum devices},
  author={Nguyen V, Orbell S, Lennon D, Moon H, Vigneau F et al.},
  journal={npj Quantum Information},
  volume={7},
  number={100},
  publisher={Springer Nature},
  year = "2021"
}

Machine learning as an enabler of qubit scalability

Ares N (2021), NATURE REVIEWS MATERIALS

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@article{machinelearning-2021/4,
  title={Machine learning as an enabler of qubit scalability},
  author={Ares N},
  journal={NATURE REVIEWS MATERIALS},
  year = "2021"
}

Radio-frequency characterization of a supercurrent transistor made from a carbon nanotube

Mergenthaler M, Schupp FJ, Nersisyan A, Ares N, Baumgartner A et al. (2021)

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@misc{radiofrequencyc-2021/3,
  title={Radio-frequency characterization of a supercurrent transistor made from a carbon nanotube},
  author={Mergenthaler M, Schupp FJ, Nersisyan A, Ares N, Baumgartner A et al.},
  year = "2021"
}

Eight Oxford Questions: Quantum Mechanics Under a New Light

Ares N, Pearson AN & Briggs GAD (2021), 198, 361-384

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@misc{eightoxfordques-2021/,
  title={Eight Oxford Questions: Quantum Mechanics Under a New Light},
  author={Ares N, Pearson AN & Briggs GAD},
  year = "2021"
}

Quantum device fine-tuning using unsupervised embedding learning

van Esbroeck NM, Lennon DT, Moon H, Nguyen V, Vigneau F et al. (2020), New Journal of Physics, 22

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@article{quantumdevicefi-2020/9,
  title={Quantum device fine-tuning using unsupervised embedding learning},
  author={van Esbroeck NM, Lennon DT, Moon H, Nguyen V, Vigneau F et al.},
  journal={New Journal of Physics},
  volume={22},
  number={095003},
  publisher={IOP Publishing},
  year = "2020"
}

Deep Reinforcement Learning for Efficient Measurement of Quantum Devices

Nguyen V, Orbell SB, Lennon DT, Moon H, Vigneau F et al. (2020)

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@misc{deepreinforceme-2020/9,
  title={Deep Reinforcement Learning for Efficient Measurement of Quantum Devices},
  author={Nguyen V, Orbell SB, Lennon DT, Moon H, Vigneau F et al.},
  year = "2020"
}

Machine learning enables completely automatic tuning of a quantum device faster than human experts

Moon H, Lennon D, Kirkpatrick J, Esbroeck NMV, Camenzind L et al. (2020), Nature Communications , 11

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@article{machinelearning-2020/8,
  title={Machine learning enables completely automatic tuning of a quantum device  faster than human experts},
  author={Moon H, Lennon D, Kirkpatrick J, Esbroeck NMV, Camenzind L et al.},
  journal={Nature Communications },
  volume={11},
  number={4161},
  publisher={Springer Nature },
  year = "2020"
}

Quantum device fine-tuning using unsupervised embedding learning

van Esbroeck NM, Lennon DT, Moon H, Nguyen V, Vigneau F et al. (2020)

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@misc{quantumdevicefi-2020/1,
  title={Quantum device fine-tuning using unsupervised embedding learning},
  author={van Esbroeck NM, Lennon DT, Moon H, Nguyen V, Vigneau F et al.},
  year = "2020"
}

Machine learning enables completely automatic tuning of a quantum device faster than human experts

Moon H, Lennon DT, Kirkpatrick J, van Esbroeck NM, Camenzind LC et al. (2020)

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@misc{machinelearning-2020/1,
  title={Machine learning enables completely automatic tuning of a quantum device faster than human experts},
  author={Moon H, Lennon DT, Kirkpatrick J, van Esbroeck NM, Camenzind LC et al.},
  year = "2020"
}

Publisher Correction: Efficiently measuring a quantum device using machine learning

Lennon DT, Moon H, Camenzind LC, Zumbühl DM, Yu L et al. (2019), npj Quantum Information(1)

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@article{publishercorrec-2019/12,
  title={Publisher Correction: Efficiently measuring a quantum device using machine learning},
  author={Lennon DT, Moon H, Camenzind LC, Zumbühl DM, Yu L et al.},
  journal={npj Quantum Information},
  publisher={Springer Science and Business Media LLC},
  year = "2019"
}

A coherent nanomechanical oscillator driven by single-electron tunnelling

Wen Y, Ares N, Schupp FJ, Pei T, Briggs G et al. (2019), Nature Physics, 16(2020), 75-82

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@article{acoherentnanome-2019/10,
  title={A coherent nanomechanical oscillator driven by single-electron tunnelling},
  author={Wen Y, Ares N, Schupp FJ, Pei T, Briggs G et al.},
  journal={Nature Physics},
  volume={16},
  pages={75-82},
  publisher={Nature Research},
  year = "2019"
}

Efficiently measuring a quantum device using machine learning

Lennon DT, Moon H, Camenzind LC, Yu L, Zumbühl DM et al. (2019), npj Quantum Information, 5

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@article{efficientlymeas-2019/9,
  title={Efficiently measuring a quantum device using machine learning},
  author={Lennon DT, Moon H, Camenzind LC, Yu L, Zumbühl DM et al.},
  journal={npj Quantum Information},
  volume={5},
  number={79},
  publisher={Springer Nature},
  year = "2019"
}

Measuring carbon nanotube vibrations using a single-electron transistor as a fast linear amplifier

Wen Y, Ares N, Pei T, Briggs GAD & Laird EA (2018), APPLIED PHYSICS LETTERS, 113(15)

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@article{measuringcarbon-2018/10,
  title={Measuring carbon nanotube vibrations using a single-electron transistor as a fast linear amplifier},
  author={Wen Y, Ares N, Pei T, Briggs GAD & Laird EA},
  journal={APPLIED PHYSICS LETTERS},
  volume={113},
  number={ARTN 153101},
  year = "2018"
}