自组织量子态的量子电路优化

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum circuits, the fundamental building blocks of quantum computation, require careful design and optimization to achieve optimal performance. Traditional optimization methods often involve manual parameter adjustments, which can be time-consuming and limit the potential for efficient optimization. This paper introduces a novel quantum circuit optimization algorithm based on self-organized quantum states, aiming to significantly enhance the efficiency of quantum computation. The core mechanism of this algorithm leverages the inherent properties of quantum states to dynamically adjust circuit parameters, leading to improved performance metrics. We present a detailed explanation of the algorithm's design and implementation, along with a thorough analysis of its effectiveness through simulations and theoretical considerations. The results demonstrate a substantial improvement in circuit fidelity and computational speed compared to existing optimization techniques.

DOI: 10.5281/zenodo.22639447

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