• DocumentCode
    2780340
  • Title

    Optimizing qubit Hamiltonian parameter estimation algorithm using PSO

  • Author

    Sergeevich, Alexandr ; Bartlett, Stephen D.

  • Author_Institution
    Centre for Eng. Quantum Syst., Univ. of Sydney, Sydney, NSW, Australia
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    In this paper we develop qubit Hamiltonian single parameter estimation techniques using Bayesian approach. The algorithms considered are restricted to projective measurements in a fixed basis, and are derived under the assumption that the qubit measurement is much slower than the characteristic qubit evolution. The non-adaptive algorithm is optimized using particle swarm optimization and compared to previously developed locally-optimal scheme.
  • Keywords
    Bayes methods; parameter estimation; particle swarm optimisation; quantum computing; Bayesian approach; PSO; nonadaptive algorithm optimization; particle swarm optimization; projective measurements; qubit Hamiltonian parameter estimation algorithm optimization; qubit measurement; Bayesian methods; Estimation; Optimization; Parameter estimation; Particle swarm optimization; Quantum computing; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2012 IEEE Congress on
  • Conference_Location
    Brisbane, QLD
  • Print_ISBN
    978-1-4673-1510-4
  • Electronic_ISBN
    978-1-4673-1508-1
  • Type

    conf

  • DOI
    10.1109/CEC.2012.6252948
  • Filename
    6252948