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Natalia Ares    

Associate Professor Natalia Ares works on experiments to advance the development of quantum technologies, with a focus on artificial intelligence for quantum device control and quantum thermodynamics. She joined the Materials Department at the University of Oxford in 2013. She was awarded a series of fellowships, including a Marie Skłodowska-Curie and a Royal Society University Research Fellowship, and was awarded a European Research Council Starting Grant in 2020. During her PhD she focused on silicon-based devices for quantum computing at CEA Grenoble, France. She completed her undergraduate studies in Physics and a Masters equivalent in the theory of quantum chaos at the University of Buenos Aires, Argentina, where she was born and raised. In October 2021 she was appointed as Associate Professor in the Department of Engineering Science and Tutorial Fellow at New College.

E: natalia.ares@eng.ox.ac.uk

P: +44 (0)1865 283187

Postdocs

DPhil Students

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Dominic Lennon

Research Interests: Automating the control of quantum experiments in semiconductor devices, using machine learning.

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David Craig

Research Interests: Combining machine learning methods with physical models to understand transport in electrostatic quantum dot devices.

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Joseph Hickie

Research Interests: Designing algorithms to improve quantum dot device readout and working on pulse optimisation for semiconductor qubits.

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Brandon Severin

Research Interests: AI for qubit readout. Focused on taking Silicon devices from cool down to qubits with a flick of a switch.

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Barnaby van Straaten

Research Interests: Machine learning techniques for high bandwidth measurements to ease the burden of transport measurements, for more scalable quantum computing architectures.

Kushagra Aggarwal 

Research Interests: Exploring thermodynamics in the nanoscale regime using carbon nanotube-based electromechanical resonators.

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Jonas Schuff

Research Interests: Combining the necessary parts (and proposing methods where there are gaps) to achieve fully automated tuning of semiconducting qubits. This will lead to an understanding of how highly complex algorithms can work together to contribute to the final goal of scalable quantum computers.

Part II/Master Students

Daniel Antoine-Donatein

Alumni

Dr Florian Vigneau

Nicholas Sim

Dr Hyungil Moon

Dr Anna Pearson

Josh King

Nina van Esbroeck

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