Adaptive Topology Reconstruction & Quantum Computation

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper investigates the application of adaptive topology reconstruction and quantum computation to achieve high-precision topology reconstruction and computation. Traditional topology reconstruction methods rely on fixed topologies, while our proposed algorithm leverages the adaptive nature of non-linear topology geometry to enable more flexible and efficient topology reconstruction and computation. We explore the design of an algorithm that utilizes quantum computation to enhance the precision and computational speed of this process. The core mechanism involves a dynamic adjustment of topology parameters guided by quantum feedback, resulting in improved accuracy and efficiency compared to existing approaches. This research focuses on demonstrating the potential of this combined approach to revolutionize topology reconstruction and computation.

DOI: 10.5281/zenodo.22296228

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