Re-Architecting Networks with AI-Enabled SAP S/4HANA and Quantum Circuit Optimization in Cloud Environments with Oracle EBS Integration

Abstract

The convergence of Artificial Intelligence (AI), quantum computing, and cloud-native enterprise systems is redefining the design and management of modern data networks. This paper proposes a network re-architecture framework that integrates AI-driven analytics, SAP S/4HANA intelligence, and quantum circuit optimization to enhance operational efficiency, scalability, and resilience. Quantum optimization algorithms are employed to accelerate computationally intensive network tasks such as traffic routing, resource allocation, and predictive anomaly detection, while AI models support real-time monitoring, adaptive policy enforcement, and intelligent automation. Oracle E-Business Suite (EBS) integration provides seamless enterprise resource management, enabling cohesive workflows across financial, administrative, and operational domains. The framework leverages cloud-native infrastructure for dynamic scalability, high availability, and secure multi-tenant operations, while adhering to data governance and compliance standards. By unifying AI, quantum computing, and SAP–Oracle enterprise integration, the proposed architecture offers a next-generation paradigm for cloud-enabled, intelligent network ecosystems, supporting strategic decision-making, reduced latency, and end-to-end business continuity.