Optimizing qubit Hamiltonian parameter estimation algorithms using PSO
  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. 
Alexandr Sergeevich and Stephen D. Bartlett
quant-ph