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Course Outline
Foundations of Quantum Mechanics
- Core principles of quantum mechanics
- Concepts of quantum states and qubits
- The nature of superposition and entanglement
Basics of Quantum Computing
- Structure of quantum circuits and quantum gates
- Techniques for quantum measurement and qubit control
- Familiarization with quantum algorithms
Quantum Algorithms
- General overview of quantum algorithmic approaches
- The Quantum Fourier Transform and its practical uses
- Grover's algorithm applied to database searching
Intersection of Quantum AI and Machine Learning
- Quantum-based machine learning methods
- Designing quantum neural networks
- Exploring the practical applications of Quantum AI
Challenges and Future Trajectories
- Current technical hurdles in Quantum AI
- Ethical aspects and broader societal effects
- Emerging trends and future research paths in Quantum AI
Practical Lab Project
- Simulating quantum algorithms via Qiskit or comparable quantum computing platforms
- Building a basic quantum machine learning model
- Group collaboration to design a novel application for Quantum AI
Requirements
- A solid foundation in linear algebra and quantum mechanics
- Proficiency in Python programming
Target Audience
- AI professionals
- AI researchers
14 Hours