基于量子纠缠的几何拓扑优化策略

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper explores a novel optimization strategy leveraging quantum entanglement to address geometric topology challenges within the context of quantum computing. We propose a dynamic entanglement-based approach to refine geometric structures, enabling precise modeling and control over these structures. The core mechanism involves manipulating entangled states to iteratively refine the topological properties of a given geometry, ultimately improving the efficiency of quantum computations. This approach offers a departure from traditional optimization techniques by introducing a fundamental quantum property – entanglement – to drive the optimization process. The study investigates the potential of this method to enhance the performance of quantum algorithms.

DOI: 10.5281/zenodo.22322942

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