Self-Organizing Quantum State Adaptive Topology Control

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel self-organizing quantum state control algorithm based on the inherent adaptability of quantum states. We propose a method for optimizing quantum states by leveraging the self-organizing properties of quantum states, enabling precise control over their topological structures and predictive modeling of their evolution. The core of this approach lies in an adaptive topology control algorithm that utilizes quantum state self-organization to dynamically adjust the quantum state's topology. We present a theoretical framework and preliminary results demonstrating the effectiveness of this approach in controlling quantum states and predicting their evolution. The algorithm's ability to achieve precise and efficient control over topological structures offers significant advancements in quantum information processing and manipulation.

DOI: 10.5281/zenodo.22300017

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