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Duration 14 hours
Course Outline
Foundations of Quantum Mechanics
- Core principles of quantum mechanics
- Quantum states and qubits
- Superposition and entanglement
Basics of Quantum Computing
- Quantum circuits and gate operations
- Measurement techniques and qubit control
- Overview of quantum algorithms
Exploring Quantum Algorithms
- Broad overview of quantum algorithmic approaches
- The Quantum Fourier transform and its uses
- Grover's algorithm for search problems
Intersection of Quantum AI and Machine Learning
- Algorithms for quantum machine learning
- Architecture of quantum neural networks
- Strategic applications of Quantum AI
Challenges and the Future of Quantum AI
- Technical hurdles in Quantum AI development
- Ethical perspectives and societal consequences
- Emerging trends and research pathways in Quantum AI
Practical Lab Project
- Simulating quantum algorithms via Qiskit or comparable frameworks
- Building a basic quantum machine learning model
- Group collaboration to propose a novel Quantum AI application
Requirements
- A foundational grasp of linear algebra and quantum mechanics
- Proficiency in Python programming
Target Audience
- AI professionals
- AI researchers