基于自适应量子电路的拓扑优化算法

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel algorithm for quantum circuit optimization based on adaptive quantum circuits. Traditional quantum circuit design primarily focuses on classical circuit structures, but this research leverages topology as a core element to discover more efficient circuit designs and enhance quantum computing performance. The algorithm dynamically adjusts the topology of the quantum circuit, optimizing key performance metrics while maintaining stability. We demonstrate the effectiveness of this approach through simulations and preliminary results, highlighting the potential for improved quantum circuit design and computational efficiency. The core mechanism centers around a self-adaptive topology generation and optimization process, driven by a feedback loop. This allows for continuous refinement of the circuit's structure, leading to optimized performance.

DOI: 10.5281/zenodo.22292722

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