Secure Quantum-AI and Cloud-Driven Architecture Integrating SAP and Oracle for Scalable, Intelligent, and Real-Time Banking Systems
DOI:
https://doi.org/10.15680/IJCTECE.2025.0806007Keywords:
Quantum inspired optimization, SAP Oracle financial pipelines, Cloud based banking systems, Enterprise data flow optimization, QUBO (Quadratic Unconstrained Binary Optimization), Hybrid quantum classical heuristics, Latency reduction, Resource allocation, Throughput enhancement, Banking IT infrastructure modernizationAbstract
The financial operations of banking institutions rely on complex pipelines involving enterprise systems like SAP for transactional and financial accounting, modern databases like Oracle for data management, and increasingly cloud environments for scalability and agility. This paper investigates how quantum‑inspired optimization techniques can enhance such SAP‑Oracle financial pipelines in cloud‑based banking systems. Specifically, we propose an architecture where the data flows from SAP modules into Oracle database layers deployed in the cloud are optimized via quantum‑inspired algorithms (such as QUBO formulations, annealing‑inspired heuristics, or hybrid quantum‑classical routines) to reduce latency, enhance throughput, improve resource allocation, and minimize operational cost. A literature review shows growing interest in quantum and quantum‑inspired approaches in finance, but a gap remains for their application in enterprise financial pipelines combining SAP, Oracle and cloud. The methodology encompasses qualitative interviews with banking IT/finance managers to identify pain points and optimization opportunities, and a quantitative proof‑of‑concept experiment simulating pipeline workloads, comparing traditional optimization vs. quantum‑inspired scheduling/resource allocation. Results indicate significant improvement in throughput (transactions per second), reduction in pipeline latency, and more balanced resource utilization, with trade‑offs in complexity and required expertise. We discuss the implications for banking operations, architectural adjustments, governance, and risk. In conclusion, quantum‑inspired optimisation offers a promising path for modernizing SAP‑Oracle financial pipelines in cloud contexts, yet success depends on careful design, skilled personnel, and incremental adoption.
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