Behavior of the maximum likelihood in quantum state tomography

14 Sep 2016Travis L ScholtenRobin Blume-Kohout

Quantum state tomography on a d-dimensional system demands resources that grow rapidly with d. They may be reduced by using model selection to tailor the number of parameters in the model (i.e., the size of the density matrix). Most model selection methods typically rely on a test statistic and a null theory that describes its behavior when two models are equally good... (read more)

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