基于量子态的概率推理框架

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper introduces a novel probabilistic reasoning framework based on quantum states, designed to address complex inference problems. We propose a method that transforms the probabilistic inference process into a quantum computational paradigm, leveraging quantum state properties to enhance efficiency. The core mechanism involves quantum superposition and measurement, strategically applied to guide probabilistic reasoning. The research explores the potential of utilizing quantum states to overcome limitations of classical probabilistic inference techniques. This framework aims to provide a more robust and efficient approach for solving challenging problems across various domains, including data analysis, machine learning, and strategic decision-making. This work is a significant step towards harnessing the unique properties of quantum mechanics for enhanced computational capabilities.

DOI: 10.5281/zenodo.22157145

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