Title: Adaptive Quantum Topology Transformation: Accelerating Topological Information Theory Computation

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper presents a novel computational algorithm, termed Adaptive Quantum Topology Transformation (AQT), designed to accelerate the computation of topological information theory. The core principle of AQT lies in leveraging quantum topology transformations to significantly enhance the efficiency of key steps within the topological information processing pipeline. We investigate the potential of this approach to overcome limitations inherent in traditional methods and offer a pathway towards more rapid and accurate results. The algorithm's efficacy is demonstrated through a series of simulations and analysis, highlighting its ability to reduce computational complexity and improve the resolution of topological analysis. This work represents a significant advancement in the field of topological information theory, offering a potentially transformative solution for complex computational tasks. The paper concludes with a detailed discussion of the algorithm's architecture, mathematical foundations, and expected impact on the field.

DOI: 10.5281/zenodo.22295723

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