基于自适应拓扑的量子计算的参数优化

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper presents a novel approach to quantum computing parameter optimization based on adaptive topology. Traditional parameter optimization methods often rely on static parameter adjustments, while adaptive topology offers the potential for dynamic adjustment based on quantum computation results. This work introduces a method that utilizes the inherent properties of adaptive topology to dynamically modify quantum bit parameters, thereby enhancing the efficiency of quantum computations. The proposed method demonstrates improved performance in a series of benchmark quantum algorithms, highlighting its effectiveness in optimizing quantum circuits for specific computational tasks. The core mechanism focuses on leveraging the topology of the quantum system to achieve this dynamic adjustment. This research provides a promising avenue for enhancing the scalability and performance of quantum computing systems.

DOI: 10.5281/zenodo.22264351

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