Title: Adaptive Topology for Quantum Self-Linking Computation

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

Quantum self-linking is a fundamental phenomenon in quantum mechanics, allowing for the creation of highly entangled states. Traditional approaches to computing with self-linking have faced limitations in scalability and computational efficiency. This paper introduces a novel quantum self-linking computation method based on adaptive topology, leveraging the unique properties of self-linking to enhance computational capabilities and precision. The core mechanism focuses on optimizing the computational process through the application of adaptive topology, addressing the limitations of static approaches. This method aims to provide a flexible and efficient pathway for quantum self-linking computation, particularly for complex systems exhibiting dynamic behavior. The paper presents a detailed explanation of the adaptive topology framework, its implementation, and the resulting computational advantages, demonstrating its potential for improved performance and scalability in self-linking tasks.

DOI: 10.5281/zenodo.22222357

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