Quantum Geometry Adaptive Topology Transformation Algorithm

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum Geometry Adaptive Topology Transformation Algorithm (QGAT) is a novel algorithm designed to automate the adjustment of topological structures during quantum system simulation. This approach leverages the inherent adaptive properties of quantum geometry to dynamically refine the simulation's topology, leading to enhanced accuracy and efficiency. This paper details the design of QGAT, outlining its core mechanism, justification for its novelty, and preliminary results demonstrating its effectiveness in simulating complex quantum systems. The algorithm focuses on optimizing the simulation process by intelligently adjusting the underlying topological structure, ultimately improving the representation and understanding of quantum phenomena.

DOI: 10.5281/zenodo.22278573

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