Nonlinear Quantum Entanglement Self-Adaptation Topology

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel algorithm based on nonlinear quantum entanglement to dynamically adjust the topology of a quantum system. The core principle lies in exploiting the inherent properties of entangled states to induce and control topological changes, leading to enhanced computational and modeling capabilities. The algorithm's strength stems from its self-adaptive nature, allowing for continuous optimization and the potential to overcome limitations of traditional topological methods. This work explores the potential of this approach, demonstrating its efficacy through theoretical analysis and preliminary experimental validation. The proposed method addresses the challenge of designing robust and flexible topology, offering a pathway towards more powerful quantum computations and simulations.

DOI: 10.5281/zenodo.22289418

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