Based on Adaptive Quantum Entanglement and Dynamic Geometry

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper explores the application of adaptive quantum entanglement to dynamic geometric structures for simulating quantum systems. We propose a novel framework that leverages the unique properties of quantum entanglement to dynamically adjust geometric parameters within a quantum system. This adjustment optimizes system performance through a process of iterative refinement of the geometry, offering a more versatile and potentially superior approach compared to traditional simulation methods. The core mechanism involves manipulating geometric parameters based on entanglement measurements, resulting in a system that exhibits enhanced stability and sensitivity to subtle environmental changes. The study focuses on demonstrating the effectiveness of this approach through simulations, showcasing improvements in system fidelity and performance metrics. We present a preliminary analysis of the framework's capabilities and limitations, highlighting future research directions.

DOI: 10.5281/zenodo.22507897

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