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Duration 14 hours
Course Outline
Foundations of Quantum Mechanics
- Core principles of quantum mechanics
- Quantum states and the concept of qubits
- The phenomena of superposition and entanglement
Essentials of Quantum Computing
- Quantum circuits and gate operations
- Measurement techniques and qubit control
- An introduction to algorithmic design in quantum systems
Advanced Quantum Algorithms
- Comprehensive overview of quantum algorithmic strategies
- The Quantum Fourier transform and its practical uses
- Grover's algorithm applied to database searching
Integrating Quantum AI with Machine Learning
- Algorithms for quantum machine learning
- Architecture of quantum neural networks
- Exploring the diverse applications of Quantum AI
Obstacles and the Horizon of Quantum AI
- Addressing technical barriers in Quantum AI development
- Ethical frameworks and societal consequences
- Emerging trends and avenues for future research in Quantum AI
Practical Laboratory Exercise
- Simulation of quantum algorithms utilizing Qiskit or equivalent quantum computing platforms
- Construction of a rudimentary quantum machine learning model
- Group collaboration to design an innovative Quantum AI application
Requirements
- Fundamental knowledge of linear algebra and quantum mechanics
- Proficiency in Python programming
Target Audience
- AI Professionals
- AI Researchers