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Course Outline
Foundations of Quantum Mechanics
- Core principles of quantum mechanics
- Quantum states and the concept of qubits
- The roles of superposition and entanglement
Essentials of Quantum Computing
- Quantum circuits and gate operations
- Measurement techniques and qubit control
- Overview of fundamental quantum algorithms
Exploring Quantum Algorithms
- General overview of algorithmic approaches
- The Quantum Fourier transform and its uses
- Grover's algorithm for database searching
Quantum AI and Machine Learning
- Algorithms for quantum machine learning
- Structures of quantum neural networks
- Prospective applications of Quantum AI technologies
Challenges and Future Trajectories
- Current technical obstacles in Quantum AI
- Ethical frameworks and societal impacts
- Emerging trends and areas for future research
Practical Laboratory Project
- Simulation of quantum algorithms using frameworks like Qiskit
- Construction of a basic quantum machine learning model
- Collaborative group work to propose innovative Quantum AI applications
Requirements
- Foundational knowledge of linear algebra and quantum mechanics
- Proficiency in Python programming
Target Audience
- AI professionals
- AI researchers
14 Hours