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Quantum Network Applications in AI-Driven Risk Management
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Author(s): Swati Tyagi (University of Delaware, USA), Supriya Pathak (Oriental University, India), Vijilius Helena Raj (New Horizon College of Engineering, India), K. Laxminarayanamma (Institute of Aeronautical Engineering, Hyderabad, India), Navdeep Singh (Lovely Professional University, India)and Joshuva Arockia Dhanraj (Chandigarh University, India)
Copyright: 2025
Pages: 20
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.ch019
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Abstract
The integration of quantum networks with AI-driven systems holds transformative eventuality for threat operation across colorful diligence. This chapter explores the innovative operations of quantum networks in enhancing AI-driven threat operation strategies. Quantum networks offer unknown computational power and security features, enabling more sophisticated and accurate threat assessment models. By using quantum computing's capability to reuse vast quantities of data and perform complex computations at unknown pets, AI algorithms can identify and alleviate pitfalls with lesser perfection. Also, quantum cryptography ensures robust data protection, addressing security enterprises essential in threat operation. The chapter discusses the community between quantum networks and AI, pressing case studies, and practical executions in finance, healthcare, and cybersecurity. It also addresses the current challenges and unborn prospects of integrating these advanced technologies. The findings suggest that quantum network operations can significantly elevate the effectiveness.
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