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Quantum Entanglement-Based Probability Geometry Method

Jincheng Zhang

Published Sep 6, 2026• 0 citations
Publisher

Abstract

Quantum entanglement, a cornerstone of quantum mechanics, offers a unique approach to computation and analysis, particularly when dealing with complex probability distributions and quantum states. This paper introduces a novel probabilistic geometry method predicated on entanglement, aiming to overcome the limitations of traditional methods in these challenging areas. We propose a framework where the core computational process is transformed into a quantum state interaction, leading to enhanced efficiency and reduced error rates. The core claim is that this method provides a significant advantage over conventional probability geometry, particularly in scenarios involving high-dimensional probability distributions and quantum state manipulation. We detail the mechanism, present preliminary results demonstrating its efficacy, and discuss future research directions.

DOI
10.5281/zenodo.22480758

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