Dynamic Quantum Adaptive Algorithm (DQA)

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel dynamic quantum adaptive algorithm (DQA) designed to enhance the efficiency and accuracy of quantum computations. Traditional quantum algorithms often rely on fixed parameter settings, limiting their potential for optimization. DQA dynamically adjusts quantum system parameters during computation, leveraging quantum self-adaptation mechanisms to optimize for specific results. We present a detailed explanation of the algorithm's core mechanism, its advantages over static approaches, and preliminary results demonstrating its effectiveness in a simulated quantum environment.

DOI: 10.5281/zenodo.22184301

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