Quantum-Driven Adaptive Geometry

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum-Driven Adaptive Geometry presents a novel approach to numerical geometry simulations leveraging the principles of quantum entanglement. The core claim centers around the development of an algorithm that dynamically adjusts geometric structures during the simulation process, resulting in significantly enhanced numerical accuracy. This paper explores the fundamental concepts underlying this method, detailing the quantum entanglement-based adjustment mechanism, its potential impact on existing numerical techniques, and preliminary results demonstrating improved precision. The investigation focuses on establishing a robust framework for automated geometric refinement within the context of complex simulations.

DOI: 10.5281/zenodo.22289748

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