Adaptive Self-Organizing Quantum Topology Reconstruction

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum topology, a fascinating area of quantum physics, exhibits remarkable properties and potential applications across diverse fields, including quantum information processing and quantum cryptography. A significant challenge lies in the creation and manipulation of complex quantum states, particularly in the context of quantum geometry. This paper explores the design of an adaptive self-organizing quantum topology algorithm, aiming to dynamically adjust quantum topology structures based on input data, enabling high-precision reconstruction. The core mechanism leverages the inherent self-organizing capabilities of quantum topology to achieve this adaptability. We present a novel algorithm that incorporates feedback loops and iterative refinement to optimize the generated topology, offering a significant advancement over traditional approaches. The research highlights the potential of this algorithm to overcome limitations in achieving precise and robust quantum topology reconstruction, thereby opening up new avenues for research and applications.

DOI: 10.5281/zenodo.22264242

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