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Blockchain, AI and Quantum Networks: A Tri-Layer Model for Secure Transactions in Finance and Healthcare

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Authors: Assistant Professor, Department of Robotics Engineering, Carnegie Mellon University, United States, Sarah Williams

Year

2023

Paper ID

11757

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

241

Citations

0

Abstract

Rapid digitization of financial and healthcare services has produced immense value while also increasing systemic vulnerability: sensitive transactions and records must be exchanged across complex, heterogeneous ecosystems subject to cyber-attacks, fraud, and regulatory scrutiny. In parallel, three technological trends distributed ledger technologies (blockchain), artificial intelligence (AI), and quantum communications/networks are each maturing and offer complementary capabilities: blockchain affords decentralized integrity and transparent audit trails; AI provides adaptive threat detection and automated decisioning; and quantum networks (including quantum key distribution, QKD) promise information-theoretic or quantum-resilient security primitives. In this paper we introduce a Tri-Layer Model that integrates these three technologies into a coherent architecture for secure, privacy-preserving transactions in finance and healthcare. We (1) synthesize the theoretical foundations and practical properties of each layer; (2) propose concrete hybrid architectures that place blockchain as the transaction ledge, AI as the adaptive analytics and policy engine, and quantum networks as the secure transport and post-quantum key infrastructure; (3) provide threat-centric security analyses and formalize trust and threat models; (4) outline deployment patterns, interoperability and regulatory considerations; and (5) present benchmarking and evaluation protocols for assessing security, performance, and privacy tradeoffs. We ground the discussion with recent literature and industry developments that show how post-quantum cryptography, QKD pilots, federated learning, and blockchain pilots are being used in finance and healthcare contexts. While practical constraints remain (cost, latency, hardware maturity), the tri-layer model offers a roadmap to progressively harden critical systems today while enabling a migration path toward quantum-resilient infrastructures.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2023 reference point for readers tracking recent quantum research.
  • Rapid digitization of financial and healthcare services has produced immense value while also increasing systemic vulnerability: sensitive transactions and records must be...

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