A Factor-Graph Representation of Probabilities in Quantum Mechanics

TL;DR

This paper introduces a novel factor-graph framework for representing quantum probabilities, utilizing auxiliary state variables that differ from traditional statistical models.

Contribution

It presents a new factor-graph approach for quantum probabilities that incorporates non-random auxiliary variables, expanding the modeling toolkit.

Findings

Provides a factor-graph model for quantum probabilities

Differentiates from standard statistical models by using auxiliary variables

Lays groundwork for future quantum probabilistic inference

Abstract

A factor-graph representation of quantum-mechanical probabilities is proposed. Unlike standard statistical models, the proposed representation uses auxiliary variables (state variables) that are not random variables.