Quantum Topology Information Encoding: Adaptive Mapping Algorithm

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

Quantum topology information encoding offers a novel approach to data manipulation and optimization by leveraging the unique properties of quantum mechanics. This paper introduces an adaptive mapping algorithm based on quantum topology information encoding, capable of dynamically adjusting the encoding of quantum entangled states to precisely transform and optimize complex data structures. We demonstrate the algorithm's effectiveness through a series of simulations and analyses, showcasing its ability to achieve significant improvements in data transformation tasks. The core mechanism centers on the manipulation of quantum entanglement, providing a robust and adaptable framework for data processing. This research highlights the potential of quantum topology information encoding as a powerful tool for advanced data manipulation and optimization.

DOI: 10.5281/zenodo.22223688

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