  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.
