Dynamic Quantum Topology Optimization

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum topology, a relatively recent field, offers the potential for novel quantum computing architectures and secure communication protocols. This paper introduces a dynamic quantum topology optimization algorithm designed to automatically optimize the topological structure of quantum systems. The algorithm leverages the inherent adaptability of quantum topology to iteratively refine the system's configuration, leading to improved performance characteristics. The core mechanism centers around a self-adaptive optimization process guided by the system's topological properties, enhancing the system's overall capabilities. We present a novel framework for this algorithm, demonstrating its effectiveness through simulations and preliminary experimental results. This work represents a significant step towards automating the design and optimization of complex quantum systems, paving the way for enhanced quantum technologies.

DOI: 10.5281/zenodo.22194849

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