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Duration 14 hours
Course Outline
Introduction to Quantum Mechanics
- Core principles of quantum mechanics
- Quantum states and qubits
- Superposition and entanglement concepts
Quantum Computing Foundations
- Quantum circuits and gate operations
- Measurement processes and qubit control
- Foundational concepts in quantum algorithms
Quantum Algorithms
- Overview of major quantum algorithms
- The Quantum Fourier transform and its use cases
- Grover's algorithm for database searching
Quantum AI and Machine Learning
- Algorithms for quantum machine learning
- Architecture of quantum neural networks
- Key application areas for Quantum AI
Challenges and the Future of Quantum AI
- Technical hurdles in Quantum AI development
- Ethical frameworks and societal impact
- Emerging trends and research pathways in Quantum AI
Lab Project
- Simulating quantum algorithms using Qiskit or comparable quantum computing frameworks
- Building a basic quantum machine learning model
- Collaborative group work to propose innovative Quantum AI applications
Requirements
- A foundational grasp of linear algebra and quantum mechanics
- Proficiency in Python programming
Target Audience
- AI professionals
- AI researchers