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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Quantum-AI Federated Clouds: A trust-aware framework for cross-domain observability and security

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  • Quantum-AI Federated Clouds: A trust-aware framework for cross-domain observability and security

Omoniyi David Olufemi *

Department of Computer Engineering, University of Fairfax, VA, United States.

Research Article

World Journal of Advanced Research and Reviews, 2025, 26(02), 4098-4140

Article DOI: 10.30574/wjarr.2025.26.2.2074

DOI url: https://doi.org/10.30574/wjarr.2025.26.2.2074

Received on 16 April 2025; revised on 25 May 2025; accepted on 27 May 2025

The convergence of quantum computing, artificial intelligence (AI), and federated cloud architecture offers transformative potential for secure, scalable, and privacy-preserving data processing. Yet, trust management and cross-domain observability remain major challenges, particularly in decentralized, heterogeneous cloud environments. This paper introduces Quantum-AI Federated Clouds (QAIFC) a novel trust-aware framework that combines quantum-safe encryption, federated machine learning, and explainable AI to enable secure and observable operations across cloud domains. We present QFedSecure, a protocol suite leveraging lattice-based cryptography, quantum key distribution, and AI-driven anomaly detection to support trust propagation and policy enforcement. The framework features a dynamic trust model, observability protocol, and mechanisms for adversarial resilience. Simulations using Qiskit, TensorFlow Federated, and NS3 show up to 40% improvement in trust calibration and 55% increase in adversarial detection over baseline systems. This work advances the foundation for resilient, decentralized, and quantum-secure AI cloud ecosystems.

Post-Quantum Encryption; Quantum Key Distribution (QKD); Zero-Knowledge Proofs (ZKPs); Federated Learning (FL); Explainable AI (XAI); Anomaly Detection in FL; Dynamic Trust Scoring; Differential Privacy (DP); Zero Trust Architecture (ZTA); 

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-2074.pdf

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Omoniyi David Olufemi. Quantum-AI Federated Clouds: A trust-aware framework for cross-domain observability and security. World Journal of Advanced Research and Reviews, 2025, 26(2), 4098-4140. Article DOI: https://doi.org/10.30574/wjarr.2025.26.2.2074

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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