AWS Quantum Technologies Blog
Category: Quantum Technologies
Introducing the Wolfram Quantum Framework for Amazon Braket
In this post, we’ll explore the Wolfram Quantum Framework and show you how to connect it with Amazon Braket to run quantum algorithms.
Graph coloring with physics-inspired graph neural networks
In this post we show how physics-inspired graph neural networks can be used to solve the notoriously hard graph-coloring problem, at scale. This can help in an huge number of familiar resource-allocation problems from sports to rental cars.
How we learned to program with atoms in 24 hours flat
Earlier this year, QuEra and AWS sponsored the first-ever hackathon on a neutral-atom computer. In 24 hrs the teams solved hard problems using real quantum computers. It was a rush. We asked the winning team to tell us their story.
Amazon Braket now included in AWS SOC-2 Security, Availability, Confidentiality & Privacy Report
Amazon Braket is now included in the latest @awscloud SOC-2 report. You need to have confidence in the security, confidentiality + privacy of all services you use. Quantum computing may be experimental but it’s no different to us: security is job zero.
Introducing a cost control solution for Amazon Braket
Everyone needs effective cost management. In this post, we’ll introduce you to an Amazon Braket cost-control solution, which we’ve open-sourced on GitHub under an MIT license.
Amazon Braket launches IonQ Aria with built-in error mitigation
In this post, you’ll learn about IonQ’s latest trapped-ion quantum computer, IonQ Aria, which is now available on Amazon Braket, and is also the first QPU in AWS to feature error mitigation.
Exploring quantum chemistry applications with Tangelo and QEMIST Cloud using Amazon Braket
In this post, we show how tools from our partner Good Chemistry can help you further explore the potential of quantum computing for non-trivial molecular systems, and design experiments that you can run on Amazon Braket.
Tracking quantum experiments with Amazon Braket Hybrid Jobs and Amazon SageMaker Experiments
In this blog post, we show how you can track and manage hybrid quantum-classical experiments with the Hybrid Jobs feature in Amazon Braket and Amazon SageMaker Experiments, used by ML developers on AWS to organize their experiments and trials.
Running Jupyter notebooks as hybrid jobs with Amazon Braket
Running Jupyter notebooks as Hybrid Jobs on Amazon Braket, you get performance and convenience of jobs, without modifying code. In this post, we show how you can scale up from exploratory notebook to repeatable and reliable experiments on different quantum hardware.
Announcing the Amazon Braket Challenge winners of the QHack 2023 Hackathon
Over 2800 developers from the PennyLane community got together during the virtual QHack event in February. Today we bring you some highlights and tell you about the winning projects.