基于量子纠缠的自适应几何度量

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper introduces a novel approach to geometric computation leveraging the phenomenon of quantum entanglement. We propose a self-adaptive multiple-point (MAP) algorithm that utilizes the instantaneous correlation between entangled states to efficiently calculate geometric quantities. The core mechanism centers around the instantaneous exchange of information between entangled particles, allowing for a computational shortcut that significantly reduces the computational complexity compared to traditional methods. The study demonstrates the efficacy of this framework through simulations and analysis, highlighting its potential for enhanced geometric computation. The presented method offers a promising path towards more computationally efficient geometric calculations.

DOI: 10.5281/zenodo.22321204

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