自适应量子算法的优化策略与硬件设计

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum computing holds immense potential for scientific discovery and technological advancement, but current limitations in algorithm design and hardware implementation restrict its widespread adoption. This paper investigates a novel optimization strategy for quantum algorithms, leveraging the inherent properties of quantum hardware. We propose a dynamically adaptive algorithm that adjusts quantum gate parameters and entanglement strength based on real-time hardware feedback. The core mechanism centers around a "quantum system state" optimization algorithm, meticulously calibrated to the specific characteristics of the target quantum device. This approach aims to significantly improve algorithm efficiency and enhance quantum hardware performance, offering a pathway towards practical quantum applications.

DOI: 10.5281/zenodo.22461550

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