基于量子纠缠的概率论验证算法

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper presents a novel probabilistic verification algorithm predicated on the principles of quantum entanglement. Traditional probabilistic verification methods often struggle with the complexities of high-dimensional probability distributions, necessitating computationally intensive methods. This work explores the potential of utilizing quantum entanglement to enhance verification accuracy and reduce computational complexity. We introduce a new algorithm, termed "Entangled Verification," which leverages entangled states to establish a stronger correlation between input data and the model's output, leading to improved verification results. The core mechanism centers around creating and manipulating entangled states to quantify the model's behavior, offering a fundamentally different approach to probabilistic validation. We provide a detailed mathematical framework, including a formal analysis of the entanglement process and a preliminary validation of the algorithm's effectiveness on benchmark datasets. The paper concludes with a discussion of the potential implications of this approach and outlines future research directions.

DOI: 10.5281/zenodo.22590549

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