Self-Adaptive Quantum State Dynamics Algorithm

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper introduces a novel dynamic self-organizing algorithm for quantum states, leveraging adaptive quantum state structures to achieve enhanced quantum device properties, including self-adaptation and complexity. The core mechanism centers around dynamically adjusting the quantum state's topology to facilitate intricate and responsive quantum behavior. We present a framework for generating and manipulating quantum states using a self-tuning process, demonstrating significant improvements in quantum device performance compared to static self-organizing approaches. The algorithm's effectiveness is validated through theoretical analysis and preliminary experimental results.

DOI: 10.5281/zenodo.22316867

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