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Course Outline
Foundations of Quantum Mechanics
- Core principles of quantum mechanics
- Quantum states and the role of qubits
- Concepts of superposition and entanglement
Basics of Quantum Computing
- Quantum circuits and gate operations
- Measurement techniques and qubit control
- Introduction to algorithmic design in quantum systems
Quantum Algorithmics
- Survey of key quantum algorithms
- The Quantum Fourier Transform and its uses
- Grover's algorithm for search optimization
Quantum AI and Machine Learning
- Algorithms for quantum machine learning
- Architecture of quantum neural networks
- Strategic applications of Quantum AI
Challenges and Future Trajectories
- Technical barriers in Quantum AI development
- Ethical frameworks and societal influence
- Emerging trends and research pathways in Quantum AI
Lab Project
- Simulation of quantum algorithms using Qiskit or equivalent frameworks
- Construction of a basic quantum machine learning model
- Group collaboration to propose an innovative Quantum AI application
Requirements
- A foundational understanding of linear algebra and quantum mechanics
- Proficiency in Python programming
Target Audience
- AI professionals
- AI researchers
14 Hours