Dynamic Topology in Lattice-Based Quantum Computing

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper investigates a novel dynamic topology approach for lattice-based quantum computing, aiming to optimize computational power through adaptive lattice refinement. Current architectures often rely on fixed designs, limiting the potential for significant performance gains. We propose a method utilizing adaptive algorithms to dynamically adjust lattice parameters, guided by task-specific requirements. The core mechanism involves a continuous process of refinement, leveraging feedback loops to achieve a balance between computational complexity and fidelity. The paper details the algorithm's structure, provides a preliminary analysis of its potential benefits, and concludes with a discussion of future research directions.

DOI: 10.5281/zenodo.22525771

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