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Duration 14 hours
Course Outline
Introduction to Quantum Mechanics
- Foundational principles of quantum mechanics
- Quantum states and the concept of qubits
- The roles of superposition and entanglement
Foundations of Quantum Computing
- Structure of quantum circuits and quantum gates
- Techniques for quantum measurement and qubit manipulation
- An overview of quantum algorithms
Quantum Algorithms
- Survey of key quantum algorithms
- Applications of the Quantum Fourier Transform
- Grover's algorithm for efficient database search
Quantum AI and Machine Learning
- Algorithms for quantum machine learning
- The concept of quantum neural networks
- Prospective applications of Quantum AI
Challenges and the Future of Quantum AI
- Technical hurdles in the advancement of Quantum AI
- Ethical considerations and broader societal impact
- Emerging trends and future research directions
Lab Project
- Simulating quantum algorithms using frameworks like Qiskit
- Building a basic quantum machine learning model
- Collaborative group project to propose an innovative Quantum AI application
Requirements
- A solid grasp of linear algebra and fundamental quantum mechanics
- Proficiency in Python programming
Target Audience
- AI professionals
- AI researchers