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Quantum Adaptive Dynamic Chaos Integral Algorithm

Jincheng Zhang

Published Sep 2, 2026• 0 citations
Publisher

Abstract

Quantum Adaptive Dynamic Chaos Integral Algorithm (QADCI) presents a novel approach to integral calculation, leveraging quantum self-adaptational chaos integral structures to dynamically adjust integral parameters and enhance performance, particularly in complex integration scenarios. This algorithm aims to address limitations of traditional integral methods by optimizing the integral process through a self-correcting mechanism. The core design hinges on the intrinsic properties of chaotic integrals, enabling automated parameter refinement to achieve superior results. The paper details the algorithm's architecture, the quantum self-adaptational process, and its demonstrated performance improvements across diverse integral types. This research explores the potential of quantum mechanics to fundamentally alter the way integrals are computed, offering a promising avenue for more efficient and accurate integral analysis.

DOI
10.5281/zenodo.22255188

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