Quantum-Driven Algorithm Design for Parallel Processing

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper investigates the application of quantum-driven algorithms for parallel processing, specifically focusing on the design of optimal parallel architectures for complex computational tasks. We explore the potential of quantum annealing and quantum simulation to automatically generate efficient parallelization strategies, moving beyond traditional manual design methods. The core mechanism centers around leveraging quantum principles to identify and optimize the utilization of computational resources, ultimately aiming for improved performance and scalability. The research highlights the advantages of this approach compared to existing methods, emphasizing its potential to revolutionize the design of parallel systems.

DOI: 10.5281/zenodo.22635512

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