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University of Waterloo

1. Melgarejo Lermas, Irene. Quantum fields and machine learning.

Degree: 2020, University of Waterloo

In this thesis, we use detector models to study various properties of quantum fields. One such property is the correlations present in fields. It is known that two uncorrelated detectors, upon coupling to a quantum field, can become correlated, i.e. they harvest correlations from the field. In this work, we study the effect of the presence of extra detectors in correlation harvesting protocols. Our first main result is that a single interloper detector can sabotage the harvesting of classical and quantum correlations. The second main result in this thesis is that machines can learn to extract different features of a quantum field by processing the outcomes of local probes. As proof-of-principle, we show how a neural network can distinguish a field's boundary conditions, predict the temperature of a field and of how it can distinguish between a Fock state and a phase-averaged coherent state.

Subjects/Keywords: machine learning; quantum fields; relativistic quantum information

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Melgarejo Lermas, I. (2020). Quantum fields and machine learning. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/16371

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Melgarejo Lermas, Irene. “Quantum fields and machine learning.” 2020. Thesis, University of Waterloo. Accessed October 25, 2020. http://hdl.handle.net/10012/16371.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Melgarejo Lermas, Irene. “Quantum fields and machine learning.” 2020. Web. 25 Oct 2020.

Vancouver:

Melgarejo Lermas I. Quantum fields and machine learning. [Internet] [Thesis]. University of Waterloo; 2020. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10012/16371.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Melgarejo Lermas I. Quantum fields and machine learning. [Thesis]. University of Waterloo; 2020. Available from: http://hdl.handle.net/10012/16371

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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