A review of quantum communication and information networks with advanced cryptographic applications using machine learning, deep learning techniques
Quantum communication and information networks offer unprecedented processing efficiency and security for data transfers. Technologies like quantum key distribution (QKD), quantum repeaters, quantum memory, and quantum entanglement sources are enabling technologies that ensure secure communication....
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Franklin Open |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2773186325000131 |
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| author | R. Ramya P. Kumar D. Dhanasekaran R. Satheesh Kumar S. Amithesh Sharavan |
| author_facet | R. Ramya P. Kumar D. Dhanasekaran R. Satheesh Kumar S. Amithesh Sharavan |
| author_sort | R. Ramya |
| collection | DOAJ |
| description | Quantum communication and information networks offer unprecedented processing efficiency and security for data transfers. Technologies like quantum key distribution (QKD), quantum repeaters, quantum memory, and quantum entanglement sources are enabling technologies that ensure secure communication. QKD methods use quantum physics concepts to establish cryptographic keys, while quantum repeaters compensate for signal loss in fiber optic cables. Quantum memory enables storage and retrieval of quantum information, while quantum entanglement generators generate entangled photon pairs. Artificial intelligence and machine learning have significantly improved the efficacy and security of quantum communication. These methods can facilitate ultra-secure, reliable, large-scale communication and even a future quantum internet by analyzing quantum protocols and mitigating noise-induced errors. QKD protocols ensure secure communication channels, while quantum repeaters establish secure long-distance communication lines by mitigating signal loss. Traditional Internet technology is susceptible to surveillance due to Shannon's information theory and mathematics. The quantum internet (QI) uses satellite-based quantum communication and quantum cryptographic protocols for physical QI. Quantum entanglement sources fortify secure communication protocols, improving resistance to attacks. Quantum information networks (QINs) enhance computing, sensing, and security capabilities over extended distances. The development of reliable, robust communication systems depends on these technologies. Quantum-secured networks enhance urban security, smart management, and infrastructure protection by providing data privacy and facilitating secure data transmission, thereby facilitating robust infrastructure and technological development. |
| format | Article |
| id | doaj-art-de394793a86b48b3a36b03fe78777a2c |
| institution | Kabale University |
| issn | 2773-1863 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Franklin Open |
| spelling | doaj-art-de394793a86b48b3a36b03fe78777a2c2025-02-03T04:17:09ZengElsevierFranklin Open2773-18632025-03-0110100223A review of quantum communication and information networks with advanced cryptographic applications using machine learning, deep learning techniquesR. Ramya0P. Kumar1D. Dhanasekaran2R. Satheesh Kumar3S. Amithesh Sharavan4Corresponding author.; Department of ECE, K.S.Rangasamy College of Technology, Tamil Nadu, IndiaDepartment of ECE, K.S.Rangasamy College of Technology, Tamil Nadu, IndiaDepartment of ECE, K.S.Rangasamy College of Technology, Tamil Nadu, IndiaDepartment of ECE, K.S.Rangasamy College of Technology, Tamil Nadu, IndiaDepartment of ECE, K.S.Rangasamy College of Technology, Tamil Nadu, IndiaQuantum communication and information networks offer unprecedented processing efficiency and security for data transfers. Technologies like quantum key distribution (QKD), quantum repeaters, quantum memory, and quantum entanglement sources are enabling technologies that ensure secure communication. QKD methods use quantum physics concepts to establish cryptographic keys, while quantum repeaters compensate for signal loss in fiber optic cables. Quantum memory enables storage and retrieval of quantum information, while quantum entanglement generators generate entangled photon pairs. Artificial intelligence and machine learning have significantly improved the efficacy and security of quantum communication. These methods can facilitate ultra-secure, reliable, large-scale communication and even a future quantum internet by analyzing quantum protocols and mitigating noise-induced errors. QKD protocols ensure secure communication channels, while quantum repeaters establish secure long-distance communication lines by mitigating signal loss. Traditional Internet technology is susceptible to surveillance due to Shannon's information theory and mathematics. The quantum internet (QI) uses satellite-based quantum communication and quantum cryptographic protocols for physical QI. Quantum entanglement sources fortify secure communication protocols, improving resistance to attacks. Quantum information networks (QINs) enhance computing, sensing, and security capabilities over extended distances. The development of reliable, robust communication systems depends on these technologies. Quantum-secured networks enhance urban security, smart management, and infrastructure protection by providing data privacy and facilitating secure data transmission, thereby facilitating robust infrastructure and technological development.http://www.sciencedirect.com/science/article/pii/S2773186325000131Quantum communication and networkingProtocolsSecurityPrivacyAIMachine learning and deep learning |
| spellingShingle | R. Ramya P. Kumar D. Dhanasekaran R. Satheesh Kumar S. Amithesh Sharavan A review of quantum communication and information networks with advanced cryptographic applications using machine learning, deep learning techniques Franklin Open Quantum communication and networking Protocols Security Privacy AI Machine learning and deep learning |
| title | A review of quantum communication and information networks with advanced cryptographic applications using machine learning, deep learning techniques |
| title_full | A review of quantum communication and information networks with advanced cryptographic applications using machine learning, deep learning techniques |
| title_fullStr | A review of quantum communication and information networks with advanced cryptographic applications using machine learning, deep learning techniques |
| title_full_unstemmed | A review of quantum communication and information networks with advanced cryptographic applications using machine learning, deep learning techniques |
| title_short | A review of quantum communication and information networks with advanced cryptographic applications using machine learning, deep learning techniques |
| title_sort | review of quantum communication and information networks with advanced cryptographic applications using machine learning deep learning techniques |
| topic | Quantum communication and networking Protocols Security Privacy AI Machine learning and deep learning |
| url | http://www.sciencedirect.com/science/article/pii/S2773186325000131 |
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