Open Access

Evaluating Machine Learning Approaches for Discovering Optimal Sets of Projection Operators for Quantum State Tomography of Qubit Systems

Violeta N. Ivanova-Rohling

Violeta N. Ivanova-Rohling

Department of Physics and Zukunftskolleg, University of Konstanz, Department of Mathematical Foundations of Computer Sciences, Institute of Mathematics and Informatics, Bulgarian Academy of SciencesSofia,
Search for this author on
Sciendo|Google Scholar
Ivanova-Rohling, Violeta N.
 and 
Niklas Rohling

Niklas Rohling

Department of Physics, University of KonstanzGermany
Search for this author on
Sciendo|Google Scholar
Rohling, Niklas
  
Dec 31, 2020
Evaluating Machine Learning Approaches for Discovering Optimal Sets of Projection Operators for Quantum State Tomography of Qubit Systems's Cover Image
About this article
Previous Article
Next Article
Cite
Download Cover
Published Online: Dec 31, 2020
Page range: 61 - 73
Received: Sep 15, 2020
Accepted: Nov 04, 2020
DOI: https://doi.org/10.2478/cait-2020-0061
Keywords
© 2020 Violeta N. Ivanova-Rohling et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology
Journal RSS Feed