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Course Outline
Foundations of Quantum Mechanics
- Core principles of quantum mechanics
- Concepts of quantum states and qubits
- Exploring superposition and entanglement
Basics of Quantum Computing
- Understanding quantum circuits and gates
- Quantum measurement and qubit control
- An introductory look at quantum algorithms
Deep Dive into Quantum Algorithms
- General overview of quantum algorithms
- Quantum Fourier transform and its uses
- Implementing Grover's algorithm for search tasks
Quantum AI & Machine Learning
- Algorithms for quantum machine learning
- Architecture of quantum neural networks
- Exploring potential industry applications of Quantum AI
Challenges & The Future of Quantum AI
- Current technical hurdles in Quantum AI
- Ethical considerations and broader societal impact
- Emerging trends and research pathways in Quantum AI
Hands-On Lab Project
- Simulating quantum algorithms with Qiskit or comparable frameworks
- Building a foundational quantum machine learning model
- Collaborating on a group proposal for an innovative Quantum AI application
Requirements
- Fundamental knowledge of linear algebra and quantum mechanics
- Proficiency in Python programming
Target Audience
- AI Professionals
- AI Researchers
14 Hours