Exploring Quantum Machine Learning Techniques to Enhance Cybersecurity in Cloud Computing Environments

1. Introduction 1.1 Background and Motivation 1.2 Objectives of the Study 1.3 Structure of the Thesis 2. Quantum Computing Basics 2.1 Principles of Quantum Mechanics 2.2 Quantum Computing Technologies 2.3 Differences from Classical Computing 3. Overview of Machine Learning 3.1 Fundamental Machine Learning Concepts 3.2 Machine Learning in Cybersecurity 3.3 Limitations of Classical Machine Learning 4. Quantum Machine Learning Techniques 4.1 Introduction to Quantum Machine Learning 4.2 Popular Quantum Algorithms 4.3 Quantum Versus Classical Techniques 5. Cybersecurity in Cloud Environments 5.1 Cloud Computing Security Challenges 5.2 Current Security Frameworks 5.3 The Role of Machine Learning 6. Integration of Quantum Techniques 6.1 Leveraging Quantum for Security 6.2 Case Studies and Applications 6.3 Challenges in Quantum Integration 7. Performance and Security Evaluation 7.1 Evaluation Metrics 7.2 Comparative Analysis 7.3 Observations and Findings 8. Conclusion and Future Directions 8.1 Summary of Key Contributions 8.2 Limitations and Considerations 8.3 Directions for Future Research