07-21, 14:00–17:00 (UTC), Green
Quantum computing is an emerging area of the technology industry with applicability to many different fields. But it’s not obvious how to get started with quantum hardware or quantum algorithms. In this workshop, we’ll use Julia to introduce attendees to quantum computing, creating state of the art quantum machine learning models and solving real-world optimization problems on a real quantum device or a quantum circuit simulators using Amazon Braket.
In this two part workshop we will use Amazon Braket with Julia to introduce attendees to the exciting world of quantum computing. Getting started in QC can be daunting if you’re not already an expert in physics or CS. We’ll spend the first part of the workshop getting acquainted with the different types of quantum hardware available today and some introductory algorithms, which we’ll run on real quantum computers and simulators. Then we’ll build upon this and begin exploring using quantum hardware to tackle machine learning and optimization problems.
In order to access the quantum hardware and simulators during the workshop, we’ll be using Amazon Braket, which is a fully managed quantum computing service that helps researchers and developers get started with the technology to accelerate research and discovery.
I am a longtime Julia contributor with a special interest in GPU programming and HPC. I currently work at Amazon Braket as a scientist.
I'm a software engineer at Amazon working on Amazon Braket, a managed quantum computing platform. I graduated from The Ohio State University with a Master's in Computer Science in August 2019. I worked on high performance computing for representation learning in graphs at the Data Mining Research Laboratory at OSU. I dabble in quantum computing, graphs, high performance computing and most recently in serverless compute.