Self-Adaptive Topological Structure Search Accelerator

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel quantum accelerator for topological structure search, leveraging quantum entanglement and quantum algorithms to significantly accelerate the process. Traditional methods are computationally expensive, necessitating substantial processing times. Our design utilizes quantum entanglement to establish correlated states, allowing for efficient exploration of the search space. A key innovation lies in a dynamically adaptive topology search strategy, allowing the accelerator to intelligently refine the search path based on the quantum state. The proposed system demonstrates a substantial improvement in search speed and the ability to identify promising topological structures compared to conventional approaches. This work establishes a foundation for future quantum computing advancements in data analysis and structural discovery.

DOI: 10.5281/zenodo.22299044

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