AWS Quantum Technologies Blog
Tag: quantum computing
How to use pulse-level control on OQC’s superconducting quantum computer
Amazon Braket Pulse lets you control the low-level analog instructions for quantum computers, to optimize performance or develop new analog protocols, like error suppression and mitigation. Today we show you how and describe some best practices.
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.
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.
Perfect imperfections: how AWS is innovating on diamond materials for quantum communication with Element Six
This post introduces key concepts of quantum communication showing how diamonds can be used in quantum networking nodes. And we’re announcing a new research collaboration with Element Six to explore ways to develop and improve synthetic diamond for quantum networking.