Adaptive Topology Mapping for Quantum Acceleration

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper explores the application of adaptive topology mapping to quantum computation, aiming to enhance computational efficiency through a novel algorithm. Traditional approaches to topology mapping rely on classical computation, leading to limitations in computational speed. We propose a quantum acceleration technique that optimizes the core mapping process, offering a significant improvement in efficiency. The core mechanism centers on leveraging quantum phenomena to dynamically adjust the mapping process, achieving a higher degree of precision and faster convergence than existing methods. The study focuses on demonstrating the effectiveness of this approach in a quantum computing framework, ultimately paving the way for more efficient and scalable quantum algorithms. The paper details the algorithm's design, implementation, and preliminary results demonstrating improved performance compared to baseline techniques.

DOI: 10.5281/zenodo.22301869

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