Quantum system identification by Bayesian analysis of noisy data: Beyond Hamiltonian tomography

S. G. Schirmer, D. K. L. Oi

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

We consider how to characterize the dynamics of a quantum system from a restricted set of initial states and measurements using Bayesian analysis. Previous work has shown that Hamiltonian systems can be well estimated from analysis of noisy data. Here we show how to generalize this approach to systems with moderate dephasing in the eigenbasis of the Hamiltonian. We illustrate the process for a range of three-level quantum systems. The results suggest that the Bayesian estimation of the frequencies and dephasing rates is generally highly accurate and the main source of errors are errors in the reconstructed Hamiltonian basis.

Original languageEnglish
Pages (from-to)1203-1209
Number of pages7
JournalLaser Physics
Volume20
Issue number5
DOIs
Publication statusPublished - May 2010

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Hamiltonians
system identification
Tomography
Identification (control systems)
tomography

Keywords

  • laser physics
  • noisy data
  • quantum system identification
  • Bayesian analysis
  • Hamiltonian tomography

Cite this

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Quantum system identification by Bayesian analysis of noisy data: Beyond Hamiltonian tomography. / Schirmer, S. G.; Oi, D. K. L.

In: Laser Physics, Vol. 20, No. 5, 05.2010, p. 1203-1209.

Research output: Contribution to journalArticle

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