Artificial intelligence and quantum cryptography

Abstract The technological advancements made in recent times, particularly in artificial intelligence (AI) and quantum computing, have brought about significant changes in technology. These advancements have profoundly impacted quantum cryptography, a field where AI methodologies hold tremendous pot...

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Main Author: Petar Radanliev
Format: Article
Language:English
Published: SpringerOpen 2024-02-01
Series:Journal of Analytical Science and Technology
Subjects:
Online Access:https://doi.org/10.1186/s40543-024-00416-6
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author Petar Radanliev
author_facet Petar Radanliev
author_sort Petar Radanliev
collection DOAJ
description Abstract The technological advancements made in recent times, particularly in artificial intelligence (AI) and quantum computing, have brought about significant changes in technology. These advancements have profoundly impacted quantum cryptography, a field where AI methodologies hold tremendous potential to enhance the efficiency and robustness of cryptographic systems. However, the emergence of quantum computers has created a new challenge for existing security algorithms, commonly called the ‘quantum threat’. Despite these challenges, there are promising avenues for integrating neural network-based AI in cryptography, which has significant implications for future digital security paradigms. This summary highlights the key themes in the intersection of AI and quantum cryptography, including the potential benefits of AI-driven cryptography, the challenges that need to be addressed, and the prospects of this interdisciplinary research area.
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spelling doaj.art-5bd2079b92ec45219e83923bdd64ceb42024-03-05T19:22:26ZengSpringerOpenJournal of Analytical Science and Technology2093-33712024-02-0115111710.1186/s40543-024-00416-6Artificial intelligence and quantum cryptographyPetar Radanliev0Department of Computer Sciences, University of OxfordAbstract The technological advancements made in recent times, particularly in artificial intelligence (AI) and quantum computing, have brought about significant changes in technology. These advancements have profoundly impacted quantum cryptography, a field where AI methodologies hold tremendous potential to enhance the efficiency and robustness of cryptographic systems. However, the emergence of quantum computers has created a new challenge for existing security algorithms, commonly called the ‘quantum threat’. Despite these challenges, there are promising avenues for integrating neural network-based AI in cryptography, which has significant implications for future digital security paradigms. This summary highlights the key themes in the intersection of AI and quantum cryptography, including the potential benefits of AI-driven cryptography, the challenges that need to be addressed, and the prospects of this interdisciplinary research area.https://doi.org/10.1186/s40543-024-00416-6Artificial intelligenceQuantum algorithmsNeural networksQuantum-AI integrationQuantum threatsAI-enhanced security
spellingShingle Petar Radanliev
Artificial intelligence and quantum cryptography
Journal of Analytical Science and Technology
Artificial intelligence
Quantum algorithms
Neural networks
Quantum-AI integration
Quantum threats
AI-enhanced security
title Artificial intelligence and quantum cryptography
title_full Artificial intelligence and quantum cryptography
title_fullStr Artificial intelligence and quantum cryptography
title_full_unstemmed Artificial intelligence and quantum cryptography
title_short Artificial intelligence and quantum cryptography
title_sort artificial intelligence and quantum cryptography
topic Artificial intelligence
Quantum algorithms
Neural networks
Quantum-AI integration
Quantum threats
AI-enhanced security
url https://doi.org/10.1186/s40543-024-00416-6
work_keys_str_mv AT petarradanliev artificialintelligenceandquantumcryptography