Title: Dynamic Topology in Variational Quantum Algorithms for Optimization

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

This paper explores the implementation of a dynamic topology controller within variational quantum algorithms designed for optimization. Current variational quantum algorithms often suffer from limitations imposed by the underlying hardware, hindering efficient exploration of solution spaces. We propose a novel approach leveraging a 'topology controller' that dynamically adjusts the algorithm's search parameters – specifically circuit depth – in real-time based on the hardware's capabilities. The core claim is that this dynamic adaptation will significantly improve the efficiency of optimization, particularly in scenarios where hardware constraints are a major factor. The paper details the design of the topology controller, explores its impact on algorithm performance, and presents preliminary results demonstrating the potential for enhanced exploration.

DOI: 10.5281/zenodo.22219045

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