Title: Dynamical Chaos-Driven Algorithm for Parallel Quantum Processing

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum computing holds immense promise for revolutionary advancements across diverse fields, but current implementations face significant challenges regarding scalability and efficiency. The inherent complexity of quantum systems necessitates intricate control strategies, often struggling to optimally utilize available resources. This research proposes a novel dynamic chaos-driven algorithm to address this limitation by intelligently adjusting the parallelism of quantum processors in real-time. We design a 'chaos-aware' scheduling algorithm that monitors the system's state and subtly alters qubit assignments to mimic the effects of chaos, thereby optimizing performance. This approach aims to overcome the limitations of static scheduling techniques and unlock the full potential of parallel quantum processing. This paper presents the design of the algorithm, details its implementation, and explores the theoretical implications of its effectiveness.

DOI: 10.5281/zenodo.22241748

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