Adaptive Quantum State Graph Mapping

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper introduces a novel algorithm, Adaptive Quantum State Graph Mapping (ASGM), designed to dynamically adjust quantum state representations based on inherent characteristics. Traditional methods of quantum state representation often rely on static graph construction, limiting flexibility and hindering optimization. ASGM leverages quantum entanglement and superposition to create a self-adjusting graph, enabling a more responsive and powerful mapping process. The algorithm's core mechanism centers around iteratively refining the graph structure to best represent the input quantum state, ultimately improving the accuracy and efficiency of subsequent quantum computations. This work addresses the limitations of existing methods and proposes a significant advancement in quantum state representation and mapping techniques.

DOI: 10.5281/zenodo.22440688

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