Tag: Technical How-to

Three new capabilities launched today for Aquila on Amazon Braket let you customize lattice geometry and detuning. Learn how increased flexibility empowers your research.

ML models driving high-stakes decisions need interpretability. See how the Amazon QSL and Fidelity FCAT developed interpretable models based on Boolean logic.

Available today, quantum computing developers, educators, and enthusiasts can learn the foundations of quantum computing on Amazon Web Services (AWS) with the Amazon Braket Digital Learning Plan and earn their own Digital badge – at no additional cost. You earn the badge after completing a series of learning courses and scoring at least 80% on an […]

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.

Introduction The problem of robot motion planning is pervasive across many industry verticals, including (for example) automotive, manufacturing, and logistics. In the automotive industry, robotic path optimization problems can be found across the value chain in body shops, paint shops, assembly, and logistics, among others [1]. Typically, hundreds of robots operate in a single plant […]

Introduction In recent years, quantum computers have evolved from laboratory experiments available to only a handful of scientists, to research devices that are accessible worldwide through cloud services like Amazon Braket. The impact of cloud access to quantum computers is not limited to laboratory scientists and developers as it allows educators to bring these devices […]

In this blog post we develop a chemistry use case by augmenting classical algorithms for Quantum Monte Carlo with quantum computers. We will explain how to run these quantum-classical hybrid algorithms using Amazon Braket. You can find the code presented in this blog post in an accompanying Jupyter notebook. Overview Accurately determining the electronic energies […]

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 […]

When experimenting on a quantum computer, customers often need to program at the lower-level language of the device. Today, we are launching Braket Pulse, a feature that provides pulse-level access to quantum processing units (QPUs) from two hardware providers on Amazon Braket, Rigetti Computing and Oxford Quantum Circuits (OQC). In this blog, we present an […]

As of 05/17/2023, the ARN of the IonQ Harmony device changed to arn:aws:braket:us-east-1::device/qpu/ionq/Harmony. Therefore, information on this page may be outdated. Learn more. Previously, when customers submitted a circuit to the IonQ device on Amazon Braket, the circuit was automatically compiled to native instructions. Today, we are extending the verbatim compilation feature to IonQ’s 11-qubit […]