General Probabilistic Framework of Randomness
Elena R. Loubenets

TL;DR
This paper develops a comprehensive mathematical framework for describing experiments on various systems using initial information, unifying classical and quantum probability models, and clarifying the nature of state reduction in experiments.
Contribution
It introduces a unified probabilistic framework that encompasses classical and quantum models, including non-destructive experiments and state reduction phenomena.
Findings
The framework includes both Kolmogorov's probability model and quantum theory as special cases.
It establishes a unique generalized observable for any experiment based on initial information.
Proves that mappings in quantum experiments are completely positive.
Abstract
We introduce a new mathematical framework for the probabilistic description of an experiment upon a system of any type in terms of initial information representing this system. Based on the notions of an information state, an information state space and a generalized observable, this general framework covers the description of a wide range of experimental situations including those where, with respect to a system, an experiment is perturbing. We prove that, to any experiment upon a system, there corresponds a unique generalized observable on a system initial information state space, which defines the probability distribution of outcomes under this experiment. We specify the case where initial information on a system provides "no knowledge" for the description of an experiment. Incorporating in a uniform way the basic notions of conventional probability theory and the non-commutativity…
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Taxonomy
TopicsQuantum Mechanics and Applications · Quantum Information and Cryptography · Advanced Thermodynamics and Statistical Mechanics
