Based Quantum Entanglement Optimization

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper investigates the application of quantum entanglement to optimize geometric shapes. We propose a novel optimization algorithm, leveraging the unique properties of quantum entanglement, to achieve more efficient geometric solutions. The core mechanism involves encoding geometric configurations within a quantum state, enabling a fundamentally different approach to exploring the search space. The algorithm's potential lies in its ability to bypass local optima, a significant challenge in traditional optimization techniques. This research explores the feasibility of utilizing entanglement to identify and refine geometric structures, offering a promising pathway towards enhanced optimization efficiency.

DOI: 10.5281/zenodo.22272002

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