Designing intelligent cyber threat detection systems through quantum computing

Abstract

The ever-changing nature of cyber threats calls for a rapid innovative response that can arrest the situation. Quantum computing offers hope through its highly efficient and complex computing power that can intelligently detect cyber threats in the network systems. This paper examines the adoption of quantum computing into the frameworks for the detection of cyber threats. It also highlights the benefits, methodologies and real-world applications of quantum models. In addition, several quantum algorithms like Grover’s and Shor’s are assessed in terms of their contributions to cybersecurity or defense. This paper also includes methods, materials, comparative analysis, implementation strategies and practical applications in practical situations. Limitations, areas that require future research and the need to develop quantum-safe security mechanisms form the concluding part of this research paper.