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Introduction

Quantum computing has emerged as a promising technology that has the potential to revolutionize the current landscape of computational capabilities. Electrical engineers play a crucial role in harnessing the power of quantum computing to develop innovative solutions for a wide range of applications. This thesis aims to explore the principles of quantum computing and its applications in the field of electrical engineering.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
2.1 Overview of Quantum Computing
2.2 Quantum Mechanics Principles
2.3 Quantum Gates and Circuits
2.4 Quantum Algorithms
2.5 Quantum Error Correction
2.6 Quantum Computing Architectures
2.7 Quantum Software Development
2.8 Quantum Computing Applications in Electrical Engineering
2.9 Challenges and Limitations of Quantum Computing
2.10 Future Trends in Quantum Computing

Chapter 3: System Design and Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Quantum Computing Simulation Tools
3.4 Quantum Circuit Design
3.5 Experimental Setup
3.6 Data Analysis Techniques
3.7 System Validation
3.8 Performance Metrics Evaluation

Chapter 4: System Implementation
4.1 Quantum Computing Hardware Selection
4.2 Software Development for Quantum Algorithms
4.3 Quantum Circuit Implementation
4.4 Testing and Debugging
4.5 Performance Optimization
4.6 Integration with Electrical Engineering Systems
4.7 Validation and Verification
4.8 Results and Discussion

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Contributions to the Field
5.3 Future Research Directions
5.4 Concluding Remarks

Thesis Overview

Quantum computing represents a paradigm shift in computational capabilities, offering exponential speedup for certain tasks compared to classical computers. This thesis aims to provide a comprehensive overview of quantum computing principles and applications in the field of electrical engineering. The literature review will explore key concepts in quantum computing, quantum algorithms, error correction, architectures, and applications relevant to electrical engineering. The system design and methodology chapter will outline the research design, data collection methods, quantum computing simulation tools, and experimental setup. The system implementation chapter will detail the selection of quantum computing hardware, software development, quantum circuit implementation, testing, and integration with electrical engineering systems. The conclusion will summarize the findings, contributions to the field, future research directions, and concluding remarks on the project thesis Quantum Computing for Electrical Engineers.

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