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Experimental Adaptive Bayesian Tomography by Kravtsov, Konstantin; Straupe, Stanislav; Radchenko, Igor; Struchalin, Gleb; Houlsby, Neil; Kulik, Sergey is a scholarly article available to read on EtoBox.

What is Experimental Adaptive Bayesian Tomography about?

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.

Author

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

Published

2013

Language

EN