Topological Adaptive Quantum State Generation

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper introduces a novel quantum state generation algorithm based on topological adaptive principles. We propose a method that dynamically adjusts the quantum state to accommodate complex topological structures, allowing for the generation of quantum states with intricate topology. The core mechanism centers around utilizing topological self-adaptation to evolve the quantum state, enabling a deeper understanding of the state's dynamics through the lens of topology. This approach offers a unique pathway to generate states with intricate topologies, potentially unlocking new functionalities in quantum information processing. The paper details the algorithm's design, analysis, and preliminary results demonstrating the effectiveness of this technique in generating complex topological quantum states.

DOI: 10.5281/zenodo.22252289

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