自适应几何拓扑的量子计算建模

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper explores the potential of utilizing adaptive geometry, specifically topological quantum information, for quantum computation modeling. Traditional approaches often struggle with the intricacies of complex topological structures. We propose a novel framework that leverages quantum computing's unique properties to enhance model accuracy and efficiency in this domain. This framework employs a self-adjusting geometric structure that dynamically adapts to the input, allowing for the representation of highly complex topological spaces. We present a conceptual model, detailing the core mechanism and outlining potential future research directions. The goal is to demonstrate a significant advancement in quantum computation modeling through the application of adaptive geometry.

DOI: 10.5281/zenodo.22319302

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