Quantum Chaos Adaptive Geometry Transformation

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum Chaos Adaptive Geometry Transformation is a novel algorithmic framework designed to address the inherent computational challenges associated with analyzing and manipulating chaotic systems. This research introduces a method predicated on the principles of quantum chaos, specifically leveraging the concept of self-adaptive geometry transformations. The core of this approach involves employing a quantum algorithm to iteratively refine the system's geometric structure, ultimately optimizing the computational process. We propose a method that surpasses static geometric transformations by employing a dynamic, self-correcting process driven by quantum entanglement. This results in enhanced efficiency and potentially, the ability to discern subtle patterns within complex chaotic systems.

DOI: 10.5281/zenodo.22186623

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