Experimental adaptive Bayesian tomography
Konstantin Kravtsov, Stanislav S. Straupe, I. V. Radchenko, Neil Houlsby, Ferenc Huszár, S. P. Kulik · Physical Review A · 2013
We report an experimental realization of an adaptive quantum state tomography protocol. Our method takes advantage of a Bayesian approach to statistical inference and is naturally tailored for adaptive strategies. For pure states, we observe close to ${N}^{\ensuremath{-}1}$ scaling of infidelity with overall number of registered events, while the best nonadaptive protocols allow for ${N}^{\ensuremath{-}1/2}$ scaling only. Experiments are performed for polarization qubits, but the approach is readily adapted to any dimension.