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基于自适应量子拓扑的自组织计算框架

Jincheng Zhang

Published Sep 4, 2026• 0 citations
Publisher

Abstract

This paper proposes a novel computational framework based on adaptive quantum topology, designed for dynamic self-organization and high-precision computation. The framework utilizes a system of quantum systems that are continuously adjusted based on a dynamic, self-consistent topology, enabling precise control over the system's behavior. We demonstrate the framework's ability to achieve complex self-assembly patterns and demonstrate its superior computational performance compared to traditional approaches through rigorous analysis. The core mechanism centers around the evolution of a topological landscape, which allows for the self-organization of quantum states. This approach offers a fundamentally new paradigm for computation, leveraging the inherent properties of quantum systems to achieve unprecedented levels of control and precision.

DOI
10.5281/zenodo.22295915

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Quantum topology, a rapidly evolving field of physics, promises to revolutionize computational paradigms. This paper explores the potential of utilizing quantum topology to create adaptive computational frameworks, capable of dynamically adjusting complex system topology. We introduce a novel computational framework predicated on the inherent dynamic properties of quantum topology, allowing for the automated evolution of topological structures. Our core claim centers around the design of a self-adaptive computation system leveraging this dynamic structure. The mechanism involves a framework that adjusts quantum topology parameters through a feedback loop, enabling the system to respond to changing conditions and effectively explore complex topological landscapes. We detail the framework's architecture, the underlying mathematical principles, and preliminary experimental validation demonstrating its adaptability. The potential applications of this technology span diverse fields, including materials science, drug discovery, and optimization problems, highlighting the transformative impact of adaptive quantum computation. This work presents a foundational exploration of this promising avenue, demonstrating the feasibility of dynamically reshaping complex topological configurations.
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