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Course Outline
Introduction to Quantum Mechanics
- Core principles of quantum mechanics
- Quantum states and the concept of qubits
- Superposition and entanglement
Quantum Computing Fundamentals
- Quantum circuits and gate operations
- Measurement techniques and qubit manipulation
- Overview of quantum algorithms
Quantum Algorithms
- General overview of quantum algorithmic approaches
- The Quantum Fourier transform and its use cases
- Grover's algorithm for efficient database searching
Quantum AI and Machine Learning
- Quantum machine learning methodologies
- Quantum neural network architectures
- Strategic applications of Quantum AI
Challenges and Future Trajectories of Quantum AI
- Technical hurdles in the development of Quantum AI
- Ethical frameworks and societal impact
- Emerging trends and future research directions in Quantum AI
Lab Project
- Simulating quantum algorithms using Qiskit or comparable quantum computing frameworks
- Building a basic quantum machine learning model
- Collaborating on a group initiative to propose an innovative Quantum AI application
Requirements
- A foundational understanding of linear algebra and quantum mechanics
- Proficiency in Python programming
Target Audience
- AI professionals
- AI researchers
14 Hours