Identification of quantum systems: Maximum likelihood and optimal experiment design for state tomography

Robert L. Kosut, Ian A. Walmsley, Herschel Rabitz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An optimal experiment design problem invoked by the Cramér-Rao Inequality is applied to the problem of quantum state tomography. The optimization problem is integer-combinatorial and we use an established relaxation which results in a convex programming problem whose solution can be used to guide a more efficient experiment.

Original languageEnglish (US)
Title of host publicationProceedings of the 16th IFAC World Congress, IFAC 2005
PublisherIFAC Secretariat
Pages668-673
Number of pages6
ISBN (Print)008045108X, 9780080451084
DOIs
StatePublished - Jan 1 2005

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume16
ISSN (Print)1474-6670

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Keywords

  • Experiment design
  • Quantum systems
  • System identification

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  • Cite this

    Kosut, R. L., Walmsley, I. A., & Rabitz, H. (2005). Identification of quantum systems: Maximum likelihood and optimal experiment design for state tomography. In Proceedings of the 16th IFAC World Congress, IFAC 2005 (pp. 668-673). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 16). IFAC Secretariat. https://doi.org/10.3182/20050703-6-cz-1902.00112