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
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