Quantum Network Applications in AI-Driven Risk Management
Swati Tyagi, Supriya Pathak, Vijilius Helena Raj, K Laxminarayanamma, Navdeep Singh, Joshuva Arockia Dhanraj · Advances in computational intelligence and robotics book series · 2024
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.