Introduction to Quantum AI

• Basic understanding of linear algebra and quantum mechanics
• Familiarity with Python programming

Audience

• AI professionals
• AI researchers

Quantum Artificial Intelligence (Quantum AI) is the interdisciplinary field that combines quantum computing with artificial intelligence to potentially solve complex problems more efficiently than classical computers.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level AI professionals and AI researchers who wish to understand the fundamentals of Quantum AI and its potential applications.

By the end of this training, participants will be able to:

• Grasp the basic principles of quantum mechanics as they apply to quantum computing.
• Understand the workings of quantum algorithms and their implementation.
• Recognize the potential of Quantum AI in revolutionizing various industries.
• Develop a foundational quantum machine learning model.
• Evaluate the challenges and ethical considerations of Quantum AI.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Quantum Mechanics

• Basic principles of quantum mechanics
• Quantum states and qubits
• Superposition and entanglement

Quantum Computing Basics

• Quantum circuits and quantum gates
• Quantum measurement and qubit manipulation
• Introduction to quantum algorithms

Quantum Algorithms

• Overview of quantum algorithms
• Quantum Fourier transform and its applications
• Grover's algorithm for database search

Quantum AI and Machine Learning

• Quantum machine learning algorithms
• Quantum neural networks
• Potential applications of Quantum AI

Challenges and Future of Quantum AI

• Technical challenges in Quantum AI
• Ethical considerations and societal impact
• Future trends and research directions in Quantum AI

Lab Project

• Simulating quantum algorithms using Qiskit or similar quantum computing frameworks
• Developing a basic quantum machine learning model
• Collaborating on a group project to propose an innovative application of Quantum AI

Summary and Next Steps