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arXiv · 1206.3830

Optimizing qubit Hamiltonian parameter estimation algorithms using PSO

Alexandr Sergeevich·Stephen D. Bartlett
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Abstract

We develop qubit Hamiltonian single parameter estimation techniques using a 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. We optimize a non-adaptive algorithm using particle swarm optimization (PSO) and compare with a previously-developed locally-optimal scheme.

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Alexandr Sergeevich, Stephen D. Bartlett. 2012-06-18. Optimizing qubit Hamiltonian parameter estimation algorithms using PSO. https://doi.org/10.1109/cec.2012.6252948

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