Title: Adaptive Quantum Computing with Dynamic Topology

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel quantum computing algorithm based on dynamic topology, designed for adaptive parameter adjustment. Traditional approaches rely on fixed quantum gate parameters, limiting computational capabilities. Our algorithm leverages the inherent structure of dynamic topology to automatically optimize quantum system parameters, leading to improved precision in quantum computations. This approach addresses the limitations of current quantum algorithms by providing a mechanism for self-tuning and response to system behavior. The core mechanism involves a dynamically evolving topology that adjusts quantum gates based on the system's response, ultimately enhancing the accuracy of results. The paper details the algorithm's design, demonstrates its effectiveness through illustrative examples, and discusses the potential implications for future quantum computing advancements.

DOI: 10.5281/zenodo.22301315

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