自适应量子纠缠的拓扑结构建模

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum entanglement, a cornerstone of quantum information processing, exhibits a remarkable degree of fragility. Traditional approaches often struggle to fully exploit the inherent properties of entangled states, leading to limitations in computation and error correction. This paper introduces a novel framework for modeling quantum entanglement based on dynamic topological structures, aiming to enhance the stability and controllability of entangled states. We propose a mechanism that dynamically adjusts the topology of the entangled state, leveraging this structure to suppress quantum noise and improve overall information processing. The core claim is that incorporating this dynamic topology allows for more precise control and manipulation of quantum information through a measurable "topological structure." This research explores the potential of this approach to overcome limitations inherent in existing quantum computing models and opens up avenues for more efficient and robust quantum information handling.

DOI: 10.5281/zenodo.22617949

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