Research and Development OF Hybrid Quantum–Machine Learning Models

Lyubomir Gotsev is а researcher and lecturer in the field of artificial intelligence and data analysis, with а focus on machine learning, cybersecurity, and emerging quantum technologies. His work explores the intersection of theory and practice in data-driven intelligent systems. This monograph presents а structured approach to hybrid quantum-machine learning models for network intrusion detection under NISQ constraints. lt integrates conceptual foundations, analytical frameworks, methodological design, and experimental validation into а coherent scientific perspective. This monograph presents а structured approach to hybrid quantum-machine learning models for network intrusion detection under NISQ constraints. lt integrates conceptual foundations, analytical frameworks, methodological design, and experimental validation into а coherent scientific perspective.

The book can be accessed from this link.