Experimental Adaptive Bayesian Tomography

Konstantin Kravtsov, Stanislav Straupe, Igor Radchenko, Gleb Struchalin, Neil Houlsby, Sergey Kulik

Phyiscal 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 1/N scaling of infidelity with overall number of registered events, while best non-adaptive protocols allow for 1/\sqrt{N} scaling only. Experiments are performed for polarization qubits, but the approach is readily adapted to any dimension.

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