Dynamic Adaptive Quantum Topology for Quantum Algorithms

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum computing stands on the precipice of transformative advancements, offering the potential to solve complex problems intractable for classical computers. This research explores the application of dynamic adaptive quantum topology, a novel algorithmic framework, to enhance the design and optimization of quantum algorithms. The core principle lies in leveraging self-adjusting topological structures to dynamically tailor the quantum system's parameters, thereby improving algorithm efficiency and accuracy. This work presents a theoretical framework and initial implementation demonstrating the feasibility and potential benefits of this approach. The goal is to move beyond static algorithm design paradigms and embrace a dynamically responsive system capable of adapting to the specific characteristics of each quantum system. We investigate the impact of this dynamic topology on algorithm performance and provide a preliminary analysis of its advantages.

DOI: 10.5281/zenodo.22186075

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