Quantum State Dynamic Transformation Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel dynamic transformation algorithm based on quantum state dynamics. Traditional transformation algorithms often require manual parameter adjustments, limiting their adaptability to complex environments. This work proposes a method leveraging quantum state self-adaptation to achieve transformation and control of complex systems. The core mechanism involves a series of quantum state manipulations, iteratively refined through a feedback loop, enabling a more robust and adaptable transformation process. We demonstrate the efficacy of this approach through illustrative examples, highlighting its potential to overcome limitations of traditional methods. The algorithm's focus is on achieving precise and controlled transformations within a complex system.

DOI: 10.5281/zenodo.22193184

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