MATLAB-AMAZON Braket Hands-on Quantum Machine Learning Workshop
Overview
Join this hands-on training session to explore how quantum computing can potentially accelerate machine learning training. Throughout the session, you'll engage in simple exercises designed to maximize educational value. We'll provide easy, step-by-step explanations to demonstrate how classical problems are translated into quantum formalism, how data is loaded onto qubits, and how computations are performed on quantum processors. Simulations will be run in MATLAB and executed on real Quantum Processing Units (QPUs) using Amazon Braket.
Highlights
- Learn basic concepts of quantum computing in a practical way, including superposition, entanglement, and measurement.
- Load data (including real numbers and images) onto qubits with initial processing.
- Practice quantum neural networks for classification tasks.
Who Should Attend
This training session is designed for:
- Data Scientists and AI Experts: Professionals and researchers eager to explore the application of quantum computing in data processing and AI.
- Educators: Individuals interested in teaching quantum computing concepts to chemists and biologists. This session will equip you with practical examples and methodologies to integrate quantum computing into your curriculum.
- Quantum Computing Enthusiasts: Anyone passionate about quantum technologies and eager to learn how to solve classical problems using quantum processors.
Agenda
| Time | Title |
1:00pm |
Welcome and Introduction |
1:30pm |
Hands-on workshop |
3:00pm |
Closing statement |
