Lattice-Based Quantum Algorithm Acceleration

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper investigates the potential of lattice-based quantum computation to accelerate the execution of quantum algorithms. The core claim is that leveraging the inherent parallelism of lattice calculations can significantly improve the efficiency of quantum algorithms, thereby enhancing the overall performance of quantum computing. The proposed mechanism involves decomposing quantum algorithms into a set of independent lattice computation tasks, which are then executed in parallel on a lattice computation platform. This approach addresses the limitations of traditional quantum algorithms, which often suffer from low execution efficiency and scalability issues. We explore theoretical frameworks and present a conceptual model for this acceleration strategy, outlining the key components and potential challenges involved. The focus remains on the algorithmic design and conceptual framework, without requiring experimental validation.

DOI: 10.5281/zenodo.22292811

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