Quantum-like representation algorithm for trichotomous observables
classification
🪐 quant-ph
keywords
representationdataobservablesproblemstatisticaltrichotomousalgorithmamplitude
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We study the problem of representation of statistical data (of any origin) by a complex probability amplitude. This paper is devoted to representation of data collected from measurements of two trichotomous observables. The complexity of the problem eventually increased comparing to with the case of dichotomous observables. We see that only special statistical data (satisfying s number of nonlinear constraints) have the quantum--like representation.
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