自适应几何拓扑模型

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel approach to quantum computing involving the design of an adaptive geometric topology model. Traditional parameter adjustments in quantum computing often rely on manual tuning, lacking the inherent topological structure that can significantly enhance system performance. We propose a system that automatically adjusts the geometric structure of quantum systems based on input data, optimizing quantum computation efficiency. The core mechanism utilizes the principles of geometric topology to dynamically modify the system's configuration. This adaptive approach represents a significant advancement over existing techniques, offering a potential pathway toward more efficient and robust quantum algorithms. The paper details the model's architecture, explains the underlying mathematical principles, and provides preliminary results demonstrating its effectiveness.

DOI: 10.5281/zenodo.22204705

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