AI-Driven Cloud and DevOps Transformation Framework for Blockchain-Enabled Enterprise Ecosystems: Integrating NLP, BERT, and Cryptocurrency Intelligence
DOI:
https://doi.org/10.15680/IJCTECE.2025.0806802Keywords:
quantum circuit optimisation, quantum cloud, secure financial transactions, quantum cryptography, qubit reduction, gate depth, financial services, quantum hacking resilienceAbstract
This paper investigates the optimisation of quantum circuits to support secure financial transactions executed via cloud‐based quantum computing platforms. With the increasing adoption of cloud quantum services and the rising threat of quantum‐capable adversaries, financial institutions require circuit designs that are both efficient in terms of quantum resources (qubits, gate depth) and robust in terms of cryptographic security. We propose a framework that combines quantum circuit optimisation techniques (such as two‑qubit block consolidation, transpiler pass‑managers) with a secure transaction protocol tailored for financial workflows on quantum cloud environment. The framework is evaluated via simulation of key transaction tasks (e.g., payment authorisation, ledger update, cryptographic key exchange) under noise and resource constraints, demonstrating up to ~30 % reduction in two‑qubit gate count and ~25 % reduction in circuit depth relative to baseline un‑optimised designs, while maintaining acceptable fidelity and cryptographic assurance. We further discuss how such optimisation lowers latency, reduces error‑induced rework, and enables practical deployment of quantum‑enhanced secure financial services. The paper concludes with discussion of advantages, limitations, and a roadmap for future work including integration with post‑quantum cryptography and hybrid quantum‑classical transaction protocols.
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