自适应量子算法的量子电路优化

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum algorithms are increasingly important for scientific and technological advancements, but their efficiency is often highly dependent on the specific quantum circuits implemented. This paper explores a novel approach to quantum circuit optimization, termed "Adaptive Quantum Circuit Optimization" (AQCO), which dynamically adjusts the structure and parameters of quantum circuits based on their inherent characteristics and computational goals. We introduce a framework leveraging quantum circuit self-adaptability to automatically optimize circuit design, resulting in significant improvements in efficiency compared to traditional methods. The proposed AQCO offers a robust and automated solution for tailoring quantum circuits to specific problems, potentially unlocking new possibilities in quantum computation. This work demonstrates the effectiveness of the framework through theoretical analysis and preliminary experimental validation.

DOI: 10.5281/zenodo.22596956

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