Dynamic Quantum Adaptive Computation

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel dynamic quantum computation framework – Dynamic Quantum Adaptive Computation (DQAC) – designed to optimize complex computations through automated parameter adjustments. Traditional computational methods are limited in their ability to handle intricate scenarios, while current quantum hardware faces significant challenges with limited resources and complexity. DQAC addresses these limitations by incorporating dynamic parameter adjustments, leveraging quantum properties to enhance efficiency, and providing a robust and adaptable computational paradigm. The framework aims to significantly improve the execution speed and resource utilization for a wide range of computational tasks.

DOI: 10.5281/zenodo.22296577

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