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 1/N scaling of infidelity with overall number of registered events, while best non-adaptive protocols allow for 1/N scaling only. Experiments are performed for polarization qubits, but the approach is readily adapted to any dimension.
@article{arxiv.1303.1792,
title = {Experimental Adaptive Bayesian Tomography},
author = {Konstantin Kravtsov and Stanislav Straupe and Igor Radchenko and Gleb Struchalin and Neil Houlsby and Sergey Kulik},
journal= {arXiv preprint arXiv:1303.1792},
year = {2015}
}