Dynamic Quantum State Adaptive Quantum Algorithm

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper introduces a novel adaptive quantum algorithm, the Dynamic Quantum State Adaptive Quantum Algorithm, designed to enhance the performance of quantum algorithms through dynamic adjustment of quantum state parameters. The core mechanism centers around a feedback loop that continuously analyzes input data and adjusts the quantum state to optimize performance. Traditional optimization methods often rely on static parameter settings, whereas this algorithm proactively adapts to the data, offering improved efficiency and robustness. The paper details the algorithm's design, implementation, and preliminary results, emphasizing the advantages of dynamic adaptation in quantum computation.

DOI: 10.5281/zenodo.22158594

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