Dynamic Adaptive Quantum Circuit Optimization

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum circuits, while promising for quantum computation, present significant challenges in terms of design, optimization, and resource utilization. Current optimization techniques often rely on manual parameter tuning, limiting scalability and adaptability. This paper proposes a dynamic adaptive quantum circuit optimization algorithm that automatically adjusts quantum circuit parameters to enhance circuit performance and reduce hardware resource consumption. The core mechanism involves a feedback loop that continuously monitors the circuit's performance and adjusts the parameters to achieve optimal results. This approach overcomes the limitations of traditional methods by providing a truly automated optimization process. This work presents a novel methodology leveraging dynamic adjustments to improve circuit efficiency and resource utilization, demonstrating significant potential for advancing the field of quantum circuit design.

DOI: 10.5281/zenodo.22323881

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