Adaptive Quantum Algorithm Parameter Adjustment

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum algorithm design is a challenging endeavor, requiring careful consideration of numerous parameters. Traditional methods often rely on fixed parameter settings, limiting the potential for optimization and hindering the development of novel quantum algorithms. This paper proposes a novel self-tuning algorithm for quantum algorithms that dynamically adjusts the parameters of the quantum circuit based on measurement results, aiming to achieve optimal performance. We outline the core mechanism, detailing the iterative adjustment process and its impact on algorithm efficiency. The proposed approach addresses the limitations of fixed parameter schemes by providing a mechanism for adaptive parameter optimization, ultimately leading to enhanced quantum circuit performance.

DOI: 10.5281/zenodo.22296925

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