Quantum Algorithm Adaptive Parameter Adjustment

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum algorithm adaptive parameter adjustment aims to enhance computational efficiency by dynamically adjusting quantum algorithm parameters during computation based on the input data characteristics. This paper introduces a novel quantum algorithm that automatically adjusts parameters to optimize the execution of a quantum circuit, improving performance and potentially unlocking new algorithmic capabilities. We explore the design of such an algorithm, detailing the implementation of the key components and the potential benefits of this approach. The paper presents a theoretical analysis of the algorithm's effectiveness and provides a preliminary implementation showcasing its capabilities.

DOI: 10.5281/zenodo.22199745

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