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Course Outline
Introduction to Quantum Mechanics
- Core principles of quantum mechanics
- Quantum states and qubits
- Concepts of superposition and entanglement
Quantum Computing Basics
- Quantum circuits and gate operations
- Measurement techniques and qubit manipulation
- Foundational overview of quantum algorithms
Quantum Algorithms
- Survey of major quantum algorithms
- The Quantum Fourier Transform and its uses
- Grover's algorithm for optimized database search
Quantum AI and Machine Learning
- Algorithms for quantum machine learning
- Architectures of quantum neural networks
- Exploring prospective applications in industry
Challenges and Future of Quantum AI
- Technical hurdles in quantum AI development
- Ethical implications and broader societal effects
- Emerging trends and future research pathways
Practical Lab Project
- Simulating quantum algorithms using frameworks like Qiskit
- Building a basic quantum machine learning model
- Collaborative group project to propose an innovative Quantum AI solution
Requirements
- A solid grounding in linear algebra and quantum mechanics.
- Proficiency in Python programming.
Target Audience
- AI professionals.
- AI researchers.
14 Hours