Dynamic Topology Structures: Adaptive Parameter Adjustment via Quantum Entanglement and Superposition

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper explores the potential of dynamic topology structures to enhance quantum computation through adaptive parameter adjustment leveraging quantum entanglement and superposition. We propose a novel mechanism that dynamically modifies quantum state parameters, allowing for optimized performance in quantum algorithms. This approach, inspired by the inherent adaptability of topological structures, promises to overcome limitations in traditional optimization techniques. The core of this work focuses on the synergistic interplay between these quantum properties and a refined parameter adjustment strategy. The paper details the proposed mechanism, its underlying mathematical framework, and preliminary results demonstrating significant improvements in specific quantum algorithms. This research lays the groundwork for a more efficient and versatile approach to quantum system design and optimization.

DOI: 10.5281/zenodo.22507910

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