Adaptive Topological Matrix Quantum Computing

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper introduces a novel quantum computing algorithm based on adaptive topological matrices. We propose a method for efficiently computing complex topological structures by dynamically adjusting the parameters of a self-adaptive topological matrix. The algorithm's core mechanism lies in the inherent properties of topological matrices, which allow for efficient representation and manipulation of topological information. This approach offers a promising path towards enhanced computational capabilities and improved accuracy in various quantum algorithms. The research explores the potential of this design to address challenges in quantum computation, particularly those involving intricate topological structures.

DOI: 10.5281/zenodo.22317629

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