Estimator Regions in Quantum State Tomography
نویسندگان
چکیده
When making estimates of a quantum state, point estimators express one’s best guess of the true state, but estimator regions are important to express the uncertainty associated with the estimate. Employing the Bayesian approach, we discuss the use of smallest credible regions (SCRs), the smallest possible regions for given credibilities, as optimal estimator regions. However, constructing the SCRs involves evaluating multidimensional integrals, which can be done by Monte Carlo integration. Therefore, we explore several methods that can be exploited to obtain the sample points required for the Monte Carlo integration.
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