黑料网

Abstract

This paper presents a novel scheduling framework designed to enhance the management of multi-programming quantum computing tasks within cloud environments. The framework addresses the unique challenges posed by quantum computing, including limited qubit resources, complex task dependencies, and dynamic cloud conditions. By integrating quantum-aware resource allocation, fairness algorithms, and real-time adaptation mechanisms, the framework optimizes the scheduling of quantum operations, minimizes resource contention, and improves overall system efficiency. It also incorporates advanced error mitigation techniques to ensure high computational fidelity. The proposed framework aims to provide equitable and efficient access to quantum resources, ultimately facilitating more effective and scalable quantum computing in cloud settings.