Title: Non-Linear Geometry for Parallel Quantum Computation Scheduling

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum computation demands highly efficient scheduling algorithms to manage complex quantum operations. Traditional scheduling methods often struggle with the inherent non-linearity of quantum systems, leading to suboptimal flow and increased computational cost. This paper introduces a novel approach, utilizing non-linear geometry, to optimize quantum computation scheduling, dynamically adjusting task assignments based on the quantum state. We propose a geometric scheduling algorithm that adapts to the evolving state of the computation, improving flow and reducing computational overhead. This work addresses a critical challenge in parallel quantum computation by providing a fundamentally new method for optimizing the distribution of quantum information across quantum processors. The proposed algorithm's core mechanism centers around creating a geometric representation of the quantum state and then employing a dynamic adjustment process to ensure optimal flow. The results demonstrate significant improvements in scheduling efficiency compared to existing classical scheduling techniques.

DOI: 10.5281/zenodo.22300185

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