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Forging Connections Between AI and Quantum Computing in Decentralized Networks: Utilizing AI for Entanglement Distribution in Quantum Networks
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Author(s): Haresh D. Khachariya (Atmiya University, India), R. Augustian Isaac (Saveetha Engineering College, India), R. Sasikala (S.A. Engineering College (Autonomous), India)and M. Gokilavani (Nehru Institute of Engineering and Technology, India)
Copyright: 2025
Pages: 16
Source title:
Multidisciplinary Applications of AI and Quantum Networking
Source Author(s)/Editor(s): Christo Ananth (Samarkand State University, Uzbekistan), Osamah Ibrahim Khalaf (Al-Nahrain University, Iraq)and Jose Anand (KCG College of Technology, India)
DOI: 10.4018/979-8-3693-9336-9.ch002
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Abstract
The mutually beneficial interaction that exists between artificial intelligence (AI) and quantum computing inside decentralized networks is presented in this research study. This study studies the possibility that artificial intelligence algorithms could improve the distribution of entanglement in quantum networks. Entanglement distribution is an essential component for ensuring secure communication and computation in the quantum domain. Several artificial intelligence (AI) approaches, including machine learning and optimization algorithms, are utilized in this study to offer novel strategies for optimizing entanglement distribution procedures. These strategies will ultimately result in quantum communication protocols that are more efficient and trustworthy. Through the overcoming of existing hurdles and the unlocking of new possibilities for quantum information processing and communication, the combination of artificial intelligence and quantum computing has the potential to revolutionize decentralized networks for the better.
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