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
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;
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
DOI :
10.1109/CEC.2012.6252948