拓扑量子几何的自适应性重构

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the potential of incorporating self-adaptive restructuring mechanisms into quantum geometry, aiming to revolutionize quantum information processing. We propose a novel quantum computing framework based on dynamic topology fields, enabling quantum systems to dynamically adjust their topological structure in response to observation. This dynamic adjustment, driven by an algorithm, distinguishes this approach from traditional static quantum state representations. The core claim is that this self-adaptive restructuring allows for the creation of more complex quantum information processing capabilities. The research builds upon established principles of topology and quantum mechanics, exploring a potential pathway toward more versatile and powerful quantum algorithms. This work presents a framework for dynamically shaping quantum states through a carefully designed algorithm, offering a fundamentally new approach to quantum computation.

DOI: 10.5281/zenodo.22205846

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