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Natalia Ares works on advancing the development of quantum technologies, with a focus on artificial intelligence, quantum device control, and quantum thermodynamics. She joined the Materials Department at the University of Oxford in 2013. During her career, she has been awarded several fellowships, including the prestigious Marie Skłodowska-Curie and Royal Society University Research Fellowship, as well as the European Research Council Starting Grant in 2020. Her PhD focused on silicon-based devices for quantum computing from CEA Grenoble in France. She completed her undergraduate studies in Physics, earning a Master's equivalent in quantum chaos theory from the University of Buenos Aires in Argentina, where she was born and raised. Natalia's research involves novel approaches to advance the engineering of quantum processors, seeking to unleash the potential of quantum technologies while addressing the intrinsic variability of individual devices. Her group's work includes developing machine learning algorithms for real-time control of complex quantum circuits, as well as exploring the thermodynamic aspects of quantum information processing. The research team fabricates devices at nanometre scales and operates them at millikelvin temperatures to investigate the interplay between information and thermodynamics in the quantum realm, ultimately informing the construction of autonomous quantum machines and circuits with learning capabilities.
University of Oxford • Oxford
Teaching and research in Engineering Science, focusing on quantum technologies.
Department of Politics and International Relations - Higher Level English requirement.