Quantum Algorithm Dynamic Optimization (QDO)

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces QDO, a novel dynamic optimization framework based on quantum algorithms. Traditional optimization methods are often static, requiring manual tuning and failing to adapt to changing system conditions. QDO leverages quantum algorithms' inherent parallelism and quantum entanglement to provide a real-time optimization approach, incorporating automatic learning and adaptation capabilities. This research explores the potential of QDO to address complex systems through dynamic adjustments, offering a paradigm shift in optimization techniques.

DOI: 10.5281/zenodo.22199166

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