Dynamic Quantum Topology Optimization Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

The field of quantum computing is rapidly advancing, driven by the potential for unprecedented computational power. However, efficient quantum algorithms require precise control over quantum systems, and current parameter optimization methods often struggle to find optimal configurations. This paper introduces a novel dynamic quantum topology optimization algorithm that leverages the inherent properties of quantum systems to dynamically adjust parameters, ultimately leading to more efficient and robust quantum computations. We propose a mechanism for automatically tuning quantum system parameters based on the current state of the quantum system, significantly enhancing the optimization process compared to traditional approaches. This algorithm aims to address limitations in current parameter adjustment techniques and unlock new possibilities for quantum algorithm design. The core of the algorithm revolves around constructing and manipulating quantum topological states, allowing for a highly adaptable and efficient optimization strategy.

DOI: 10.5281/zenodo.22204723

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