Dynamic Topology Optimization for Quantum Computing

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel dynamic topology optimization system designed to enhance the performance of quantum computation. Traditional parameter adjustment methods often rely on manual intervention, lacking the inherent advantages of topology in shaping quantum systems. This system dynamically adjusts quantum system topology during computation, optimizing performance through a sophisticated interplay of geometric transformations. The core mechanism leverages a continuous, iterative process of topology manipulation guided by a computational model. We demonstrate the system's effectiveness through simulations and preliminary experimental results, showcasing significant improvements in quantum gate fidelity and coherence time.

DOI: 10.5281/zenodo.22204753

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