多体量子纠缠的计算几何优化

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper explores the application of quantum entanglement to solve the computational geometry optimization problem. We propose a novel model leveraging entangled quantum states to simulate system interactions and implement a new optimization algorithm based on this entanglement principle. The core claim is that this approach offers a pathway to significantly enhance the efficiency and effectiveness of optimization algorithms, particularly in complex, multi-dimensional problems. The mechanism involves utilizing entanglement to represent and manipulate system variables, allowing for more intuitive and potentially faster optimization procedures. This work introduces a new algorithm that utilizes the inherent properties of quantum entanglement to guide the search process, potentially leading to improved results compared to traditional optimization techniques.

DOI: 10.5281/zenodo.22516351

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