Self-Adaptive Topological Structures for Quantum Computing: A Dynamic Mapping Approach

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper introduces a novel dynamic mapping technique for quantum computing based on self-adaptive topological structures. The core idea is to dynamically adjust the quantum system's topology during computation, allowing for enhanced reliability and performance. We explore a method that iteratively modifies the quantum system's topology based on the evolution of the quantum state, leading to improved outcomes in complex calculations. The proposed approach addresses limitations of existing mapping techniques by offering a highly adaptable and robust framework. The paper details the theoretical foundations, the implementation of the dynamic mapping process, and preliminary experimental results demonstrating the technique's effectiveness in a specific quantum algorithm. The focus is on showcasing the potential of this method to significantly improve the robustness of quantum computations.

DOI: 10.5281/zenodo.22517685

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