自适应拓扑拓扑的量子计算模型

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper explores the design of a novel adaptive topology-topology quantum computing model. Traditional quantum computing models rely heavily on manual parameter tuning, limiting efficiency. Our proposed framework, termed "Adaptive Topology-Topology Quantum Computing Model," dynamically adjusts quantum computation parameters based on input topology structures, enabling highly efficient computation. We introduce a novel "Adaptive Topology-Topology" mechanism that leverages both topology and quantum computation characteristics to achieve automated parameter optimization. The core claim is that this model can significantly improve quantum computing performance by dynamically adjusting quantum parameters to optimize computation. This work presents a new approach to quantum algorithm design and offers a promising pathway towards more efficient and versatile quantum computation.

DOI: 10.5281/zenodo.22152962

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