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
Foundations of Quantum Mechanics
- Core concepts of quantum mechanics
- Exploration of quantum states and qubits
- Understanding superposition and entanglement
Essentials of Quantum Computing
- Construction of quantum circuits and gates
- Processes of quantum measurement and qubit control
- Introduction to algorithmic approaches in quantum computing
Exploring Quantum Algorithms
- General overview of quantum algorithms
- The Quantum Fourier transform and its utility
- Grover's algorithm applied to database searching
Quantum AI and Machine Learning Integration
- Algorithms tailored for quantum machine learning
- Structure and function of quantum neural networks
- Industry-specific applications of Quantum AI
Challenges and Future Trajectories of Quantum AI
- Current technical hurdles in Quantum AI development
- Ethical frameworks and societal consequences
- Emerging trends and future research paths
Practical Lab Project
- Simulating quantum algorithms using frameworks like Qiskit
- Constructing a rudimentary quantum machine learning model
- Collaborative group work to design a novel Quantum AI application
Requirements
- Foundational knowledge of linear algebra and quantum mechanics
- Proficiency in Python programming
Intended Audience
- AI Professionals
- AI Researchers
14 Hours