Dynamic Quantum拓扑结构下的拓扑信息预测 (Dynamic Topology-Based Quantum Computation Topology Prediction)

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum computation, a paradigm shift in computation, relies heavily on the manipulation of quantum states. However, the intricate nature of quantum systems necessitates sophisticated techniques for topology prediction, a crucial element in understanding quantum computation's behavior and potential. This paper explores the application of dynamic topology, a novel approach to structure optimization, to predict topology information of quantum computation, ultimately aiming to optimize quantum computation parameters. Traditional methods often involve manual parameter selection, limiting adaptability and hindering the exploration of diverse quantum configurations. We propose a model leveraging dynamic topology to automatically generate optimal quantum computation parameters, resulting in enhanced performance and a deeper understanding of quantum systems. This work presents a framework for predicting topology information using dynamic topology, offering a significant advancement in topology-based optimization for quantum computation.

DOI: 10.5281/zenodo.22265120

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