Quantum State Superposition-Based Parallel Computing Resource Scheduling

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper investigates a novel approach to parallel computing resource scheduling leveraging the principles of quantum state superposition. Traditional parallel computing methods face limitations in efficiently utilizing available resources due to inherent sequential execution constraints. We propose a framework that maps computational tasks onto quantum state superposition, enabling parallel execution through quantum control techniques. Furthermore, we explore the potential of quantum entanglement for optimizing resource allocation and scheduling. This research addresses the core claim of enhancing computational efficiency by exploiting the unique properties of quantum mechanics. The methodology presented offers a fundamentally different paradigm for resource management, potentially unlocking significant performance improvements in computationally intensive applications. This work introduces a new method for parallel computation resource scheduling by utilizing quantum state superposition. The key mechanism involves mapping tasks to superposition states, parallel execution via quantum control, and entanglement-based resource scheduling.

DOI: 10.5281/zenodo.22274443

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