Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Quantum Mechanics
- Core principles of quantum mechanics
- Quantum states and qubits
- Superposition and entanglement
Foundations of Quantum Computing
- Quantum circuits and quantum gates
- Measurement processes and qubit manipulation
- An introduction to quantum algorithms
Quantum Algorithms
- Overview of key quantum algorithms
- Quantum Fourier transform and its practical uses
- Grover's algorithm for database search
Quantum AI and Machine Learning
- Algorithms for quantum machine learning
- Quantum neural networks
- Potential applications of Quantum AI
Challenges and the Future of Quantum AI
- Technical hurdles in developing Quantum AI
- Ethical considerations and societal impact
- Emerging trends and research directions in Quantum AI
Lab Project
- Simulating quantum algorithms using Qiskit or similar quantum computing frameworks
- Constructing a basic quantum machine learning model
- Collaborating on a group project 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