AWS Quantum Technologies Blog
Author: Stefan Natu
Stefan Natu is a Sr. Manager of Product Management at Amazon Braket, a service designed to accelerate scientific research and software development for quantum computing. He has held several industry roles, most recently focusing on helping customers leverage technologies such as machine learning and quantum computing using the AWS cloud. In a prior life, Stefan completed his PhD in Atomic and Condensed Matter Physics from Cornell University, and was a postdoctoral fellow at the Joint Quantum Institute at the University of Maryland.
Advancing hybrid quantum computing research with Amazon Braket and NVIDIA CUDA-Q
The future is hybrid quantum-classical computing. Find out how NVIDIA and Amazon are teaming up to advance hybrid quantum workflows.
Explore quantum algorithms faster by running your local Python code as an Amazon Braket Hybrid Job with minimal code changes
Today we’ll show you how to use a new python decorator from the Amazon Braket SDK to help algorithm researchers seamlessly execute local Python functions as an Amazon Braket Hybrid Job with just one extra line of code.
Using D-Wave Leap from the AWS Marketplace with Amazon Braket Notebooks and Braket SDK
Starting today, access to D-Wave products and services has fully transitioned to the AWS Marketplace, and customers can no longer access the D-Wave 2000Q and Advantage systems via Amazon Braket, the cloud computing service of AWS. In this blog, we will show how you can continue to use the Amazon Braket SDK to describe quantum […]
Accelerate hybrid quantum-classical algorithms on Amazon Braket using embedded simulators from Xanadu’s PennyLane featuring NVIDIA cuQuantum
In 2021, Amazon Braket, the fully-managed quantum computing service from AWS, launched Amazon Braket Hybrid Jobs to provide customers a convenient way to run hybrid algorithms without worrying about managing the underlying infrastructure. With features such as priority access to quantum processing units (QPUs), Amazon Braket Hybrid Jobs is designed for lower latency and faster […]