Coarse-Graining of Observables

نویسندگان

چکیده

We first define the coarse-graining of probability measures in terms stochastic kernels. when a measure is part another and say that two coexist if they are both parts single measure. then show any coexist. extend these concepts to observables instruments mention need not discretization an observable as special case have \zeroone next consider finite cases, kernels replaced by matrices. also same post-processing this case. sequential products discuss product post-processed with observable. briefly SIC example qubit observables.

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ژورنال

عنوان ژورنال: Quantum reports

سال: 2022

ISSN: ['2624-960X']

DOI: https://doi.org/10.3390/quantum4040029