自适应拓扑几何的量子纠缠模拟

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper investigates the potential of self-adaptive topology geometry simulation to provide a novel approach to quantum state simulation, specifically addressing the limitations of classical methods in handling complex geometric structures. We propose a quantum entanglement-based simulation algorithm designed to directly translate topological structures into a computationally tractable geometric model, leveraging entanglement's inherent properties for optimization and improved accuracy. This work explores the use of quantum entanglement to overcome the inherent challenges associated with traditional numerical methods in simulating intricate topological phenomena. The core claim is that this self-adaptive approach offers a significant advancement in quantum state simulation, potentially exceeding the precision and efficiency of classical techniques by introducing the dynamic and self-correcting properties of entanglement.

DOI: 10.5281/zenodo.22264642

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