自适应量子电路设计算法

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum computing holds immense promise for tackling complex problems currently intractable for classical computers. However, realizing this potential requires significant advancements in quantum circuit design, particularly in terms of efficiency and scalability. This paper introduces a novel self-adaptive quantum circuit design algorithm, designed to automatically adjust quantum circuit parameters based on system performance targets. The core mechanism leverages a self-learning process, iteratively refining the circuit structure to optimize key performance indicators – including qubit count, coherence time, and fidelity – thereby enhancing the overall quantum computation efficiency. We present a preliminary implementation demonstrating the algorithm's ability to achieve significant performance improvements compared to traditional approaches, highlighting its potential to accelerate the development of practical quantum devices.

DOI: 10.5281/zenodo.22204682

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