Adaptive Topology Search Algorithm for Quantum Optimization

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces an adaptive topology search algorithm based on quantum optimization, designed to efficiently discover superior topological structures and optimize their properties. Traditional topological search methods often struggle with complex structures and require significant computational resources. Our proposed algorithm leverages quantum optimization to identify optimal parameter combinations, allowing for the discovery of structures that surpass conventional approaches. The core mechanism involves a quantum optimization process that iteratively refines a search space, leading to improved results in topological structure analysis. The algorithm demonstrates superior performance in several benchmark tests, highlighting its potential for tackling complex topological problems.

DOI: 10.5281/zenodo.22298997

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