Dynamic Quantum Circuit Optimization

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum computing holds immense promise for revolutionizing various fields, but its practical application is often constrained by the inherent complexity of quantum circuits. This paper introduces a novel optimization algorithm, Dynamic Quantum Circuit Optimization (DQCO), designed to address this challenge by leveraging the dynamic nature of quantum circuits. DQCO employs a feedback mechanism that automatically adjusts quantum circuit parameters based on observed performance, ultimately leading to improved efficiency and reduced operational costs. The core of the algorithm centers on identifying and responding to subtle variations in circuit behavior, providing a more robust and adaptive optimization strategy than static approaches. We present a comprehensive analysis of DQCO's performance, demonstrating significant improvements in quantum computation metrics.

DOI: 10.5281/zenodo.22303110

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