Nonlinear Geometric Field Theory Based on Quantum Entanglement: A Self-Adaptive Geometric Topology

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper investigates the potential of quantum entanglement as a mechanism for self-adaptive geometric topology in nonlinear geometric field theory. We explore the use of entangled networks to dynamically adjust geometric structures, offering a pathway to enhanced computational capabilities and more accurate physical simulations. The core claim centers on leveraging entanglement to represent and manipulate complex geometric systems, providing a novel approach to modeling dynamic environments and complex physical phenomena. This work proposes a framework that utilizes entanglement to guide the evolution of geometric configurations, potentially offering advantages over traditional methods in areas requiring adaptability and precision. The paper details the establishment of a quantum entanglement network, its dynamic adjustment capabilities, and the implications for computational efficiency and physical simulation. The goal is to demonstrate the effectiveness of this approach in addressing challenges related to complex geometric systems and the limitations of conventional techniques.

DOI: 10.5281/zenodo.22325347

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