基于自适应拓扑结构的量子计算的优化算法

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum computing offers the potential for exponentially faster computation compared to classical computing, but realizing this potential requires significant advancements in algorithm design. This paper explores a novel optimization algorithm for quantum computation, leveraging the principles of adaptive topology to enhance the efficiency of quantum state manipulation. We introduce a dynamically adjusted topology structure, which allows for optimization of qubit placement and entanglement, ultimately leading to improved quantum computational performance. The core mechanism centers around a self-adaptive algorithm that continuously refines the quantum state to achieve optimal results. This approach contrasts with traditional static optimization methods, offering a promising path towards unlocking the full capabilities of quantum systems. The paper details the algorithm's design, analysis, and preliminary experimental results, demonstrating its potential for enhancing quantum computation.

DOI: 10.5281/zenodo.22184381

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