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Duration 14 hours
Course Outline
Introduction to Quantum Mechanics
- Core principles of quantum mechanics
- Quantum states and the concept of qubits
- Phenomena of superposition and entanglement
Foundations of Quantum Computing
- Structure of quantum circuits and gates
- Processes of quantum measurement and qubit control
- Primer on quantum algorithms
Quantum Algorithms
- Broad overview of available quantum algorithms
- The Quantum Fourier Transform and its utility
- Utilizing Grover's algorithm for database searching
Quantum AI and Machine Learning
- Exploration of quantum machine learning techniques
- Architecture of quantum neural networks
- Practical applications of Quantum AI
Challenges and the Future of Quantum AI
- Current technical limitations in Quantum AI
- Ethical frameworks and societal impacts
- Emerging trends and future research trajectories in Quantum AI
Practical Lab Project
- Simulating quantum algorithms using Qiskit or comparable quantum computing platforms
- Designing a simple quantum machine learning model
- Collaborative group work to propose a novel Quantum AI application
Requirements
- Foundational knowledge of linear algebra and quantum mechanics
- Proficiency in Python programming
Target Audience
- AI professionals
- AI researchers