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Course Outline
Foundations of Quantum Mechanics
- Core tenets of quantum mechanics
- The nature of quantum states and qubits
- Concepts of superposition and entanglement
Basics of Quantum Computing
- Structure of quantum circuits and quantum gates
- Techniques for quantum measurement and qubit control
- Foundational exposure to quantum algorithms
Quantum Algorithms
- General overview of quantum algorithmic strategies
- The Quantum Fourier transform and its utility
- Application of Grover's algorithm in database searching
Quantum AI and Machine Learning
- Algorithms for quantum machine learning
- Architecture of quantum neural networks
- Real-world potential of Quantum AI applications
Challenges and the Future of Quantum AI
- Technical barriers facing Quantum AI development
- Ethical issues and broader societal effects
- Emerging trends and future research pathways in Quantum AI
Practical Lab Project
- Simulation of quantum algorithms using Qiskit or equivalent quantum computing platforms
- Construction of an entry-level quantum machine learning model
- Group collaboration to design and propose a novel application for Quantum AI
Requirements
- A solid grasp of linear algebra and the basics of quantum mechanics
- Proficiency in Python programming
Target Audience
- AI specialists
- Researchers in the field of AI
14 Hours