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Course Outline
Introduction to Quantum Mechanics
- Core principles of quantum mechanics
- Quantum states and qubits
- Superposition and entanglement
Basics of Quantum Computing
- Quantum circuits and gates
- Measurement techniques and qubit manipulation
- Foundations of quantum algorithms
Quantum Algorithms
- Overview of key quantum algorithms
- Quantum Fourier transform and its uses
- Grover's algorithm for database search
Quantum AI and Machine Learning
- Algorithms for quantum machine learning
- Quantum neural networks
- Application prospects of Quantum AI
Challenges and Future of Quantum AI
- Technical hurdles in Quantum AI
- Ethical dimensions and societal impact
- Emerging trends and research paths in Quantum AI
Lab Project
- Simulating quantum algorithms using Qiskit or equivalent quantum computing frameworks
- Building a basic quantum machine learning model
- Collaborating on a group project to propose an innovative Quantum AI application
Requirements
- Foundational knowledge of linear algebra and quantum mechanics
- Proficiency in Python programming
Target Audience
- AI professionals
- AI researchers
14 Hours