What question did this study set out to answer?

This review aims to explore the intersection of artificial intelligence and post-quantum cryptography, addressing vulnerabilities posed by quantum computing.

June 6, 2026Open Access

Quantum-Safe Artificial Intelligence: A Systematic Review of Post-Quantum Cryptography Applications

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Authors

AMAl-Mhadawi Mohammed M.University of Diyala YMYas Qahtan M.University of Diyala

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Implication

Systematic review identifies critical applications of post-quantum cryptography and AI in cybersecurity.

Key Points

This review aims to explore the intersection of artificial intelligence and post-quantum cryptography, addressing vulnerabilities posed by quantum computing.
Conducted a systematic review searching multiple academic databases for studies published from 2015 to 2025.
Analyzed 62 peer-reviewed studies that met predefined inclusion criteria.
Identified 38 key studies across four application domains: algorithm design (31.6%), cryptanalysis (26.3%), side-channel attack detection (23.7%), and secure deployment (18.4%).
Reported a 27% reduction in key exchange time and 98.3% accuracy in side-channel attack detection in specific case studies.

Cite This Study

M. et al. (2026) studied this question.

synapsesocial.com/papers/6a23bcab71a5da9775e77c33 https://doi.org/10.5281/zenodo.20538279

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Quantum-Safe Artificial Intelligence: A Systematic Review of Post-Quantum Cryptography Applications

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Cite This Study

Quantum-Safe Artificial Intelligence: A Systematic Review of Post-Quantum Cryptography Applications

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Member takes

Implication

Key Points

Cite This Study

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