What Can We (or a Machine) Learn From Quantum Measurements?

PhD defence, Thursday 25 January 2018, Eliska Greplova.

2018.01.25 | Trine Berndt Turtiainen Scheelke

Eliska Greplova

Quantum technologies are becoming more and more introduced into the devices that we use in the daily life, such as quantum dot based television screens or quantum cryptographic channels for encoding financial transactions. Given the limits of the silicon computer chips, it will in the near future be necessary to integrate quantum elements into the computers in order to handle the exponentially growing amount of data that needs to be processed every day. While quantum systems can be controlled with excellent precision that comes with unexpected computational power, their monitoring and readout still seems to be a daunting task. Eliska Greplova has, during her PhD studies, introduced novel methods to tackle these problems based on experimentally relevant scenarios. In particular, she have used a newly developed theory of measurements to reinterpret the physical meaning of specific experiments in quantum optics. The same mathematical framework was then used to improve algorithms for parameter estimation of quantum systems, which is a highly important practical aspect for the characterisation of quantum technologies. Finally, Eliska Greplova has improved conventional methods for parameter estimation protocols for quantum systems using novel machine learning techniques such as artificial neural networks.

The PhD degree was completed at the Department of Physics and Astronomy, Science and Technology, Aarhus University.

This résumé was prepared by the PhD student.

Time: 1pm, Thursday 25 January 2018
Place: Ny Munkegade 120, Aarhus University, 8000 Aarhus C.
Title of dissertation:
Quantum Measurements: From Bayes Rule to Neural Networks
Contact information:
Eliska Greplova, e-mail: eliska.greplova@phys.au.dk, tel.: +45 50 34 14 53
Members of the assessment committee:
Associate Professor Barbara Kraus, Institute for Theoretical Physics University of Innsbruck, Austria
Professor Juan Garrahan, School of Physics & Astronomy University of Nottingham
Professor Lars Bojer Madsen, Department of Physics and Astronomy, Aarhus University (chair)
Main supervisor:

Professor Klaus Mølmer, Department of Physics and Astronomy, Aarhus University
Language:
The PhD dissertation will be defended in English

The defence is public.
The dissertation is available for reading at the Graduate School of Science and Technology/GSST,
Ny Munkegade 120, building 1520, rooms 128-134, 8000 Aarhus C.

PhD defence
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Revised 25.04.2018