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Exploring AI Techniques for Quantum Threat Detection and Prevention
Authors
12Students, MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India. 3Professor, MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India. 4HOD, MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India.
Article Information
- Published In
- Volume 4, Issue 1 (2025)
- Published Online
- January-April 2025
- Pages
- 08-12
- Article Type
- Original Article
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Abstract
View PDFQuantum computing introduces transformative opportunities but also unprecedented cybersecurity challenges. This study explores the integration of Artificial Intelligence (AI) with quantum computing to detect and mitigate emerging quantum-era cyber threats. By leveraging AI's pattern recognition capabilities and quantum computing's unparalleled processing power, this paper investigates hybrid models for real-time threat prevention. The study presents methodologies, results, and future directions for combining these technologies to enhance cybersecurity. Challenges such as hardware limitations and algorithmic inefficiencies are addressed, emphasizing AI's potential to create robust frameworks for quantum-secure systems.
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