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Quantum Machine Intelligence

Artificial intelligence and blockchain for quantum satellites and UAV-based communications: a review

Adarsh Kumar, Ali Ismail Awad, Gaurav Sharma, Rajalakshmi Krishnamurthi, Saurabh Jain, P. Srikanth, Kriti Sharma, Mustapha Hedabou, Surinder Sood

Published Mar 26, 2025• 5 citations
Publisher
DOI
10.1007/s42484-025-00271-7

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Quantum communication is the most secure technique of transmitting data available today. Fiber communication lines and satellite-to-ground links have served as the basis for the most successful quantum networks that have been developed so far. Using a UAV, satellite or both for free-space quantum communication reduces the need for permanent ground connections and takes advantage of the lower loss limit in space, which makes it more efficient. This work surveys the recent development in Quantum Satellites and Quantum UAVs-based networks. Here, the importance of the latest technologies, including quantum artificial intelligence, blockchain quantum machine learning, quantum satellites and quantum UAVs, are explored from network perspectives. Further, this work discussed the role of satellite-based images and artificial intelligence.
The convergence of quantum computing and artificial intelligence (AI) introduces both opportunities and risks for modern cryptographic systems. This review synthesizes peer-reviewed work from 2010 to 2025 using a PRISMA-inspired methodology to examine Quantum Artificial Intelligence (QAI) as a dual-use paradigm in cryptographic security. Conceptually, the study proposes a framework that characterizes QAI both as a defensive enabler and a potential attack amplifier across key distribution, randomness generation, and intrusion detection, and it analyzes how QAI reshapes the traditional separation between post-quantum cryptography (PQC) and quantum key distribution (QKD) by adding an adaptive “learning layer” on top of classical and quantum protocols. Analytically, the review shows that QAI-enhanced schemes can improve key rates, entropy verification, and detection accuracy in realistic settings, while also enabling quantum-accelerated cryptanalysis and AI-optimized side-channel attacks. Representative case studies, including satellite-based QKD demonstrations, NIST PQC standardization efforts, QAI-based intrusion detection in 5G/6G networks, and blockchain-supported fraud detection, are used to ground these insights. The paper argues that QAI is expected to play an increasingly important role in shaping the future foundations of cryptographic trust in the quantum era. This paper does not report new experimental or deployment results; instead, it provides a PRISMA-inspired systematic review and a conceptual multi-layered security framework, together with a research agenda for QAI-enhanced cryptographic security.
Abstract: This chapter explores the convergence of cutting-edge technologies—Quantum AI, Edge AI for IoT, Blockchain for Privacy-Preserving Analytics, Artificial General Intelligence (AGI), and Quantum Cryptography—and their transformative potential in finance and communications. Quantum AI accelerates machine learning and decision-making through quantum computing, while Edge AI enables real-time data processing at the network edge for IoT systems. Blockchain ensures secure and decentralized privacy-preserving analytics, and AGI aims to develop AI systems capable of human-like general intelligence, potentially revolutionizing industries. Quantum Cryptography offers ultra-secure communication channels, safeguarding financial transactions and sensitive data. The chapter discusses these technologies' impact, applications, challenges, and ethical considerations, emphasizing the need for responsible development and interdisciplinary collaboration to harness their full potential. Keywords: Quantum AI, Edge AI, IoT, Blockchain, Privacy-Preserving Analytics, AGI, Quantum Cryptography, Finance, Communications, Quantum Computing, Machine Learning, Secure Data, Cryptography, Artificial Intelligence, Real-Time Processing, Data Security.