AWS Quantum Technologies Blog
Category: HAQM Braket
HAQM 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 HAQM Braket, and is also the first QPU in AWS to feature error mitigation.
Exploring quantum chemistry applications with Tangelo and QEMIST Cloud using HAQM 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 HAQM Braket.
Tracking quantum experiments with HAQM Braket Hybrid Jobs and HAQM SageMaker Experiments
In this blog post, we show how you can track and manage hybrid quantum-classical experiments with the Hybrid Jobs feature in HAQM Braket and HAQM SageMaker Experiments, used by ML developers on AWS to organize their experiments and trials.
Bernoulli line and the Bloch sphere: visualizing probability and quantum states
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 HAQM 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 […]
Sprinternships with Break Through Tech Chicago and the HAQM Braket quantum computing team
During May 2022, HAQM Web Services hosted its first cohort of students participating in Break Through Tech Chicago’s annual Sprinternship. This is a micro-internship program designed to transform the career trajectories of women (cisgender and transgender) and nonbinary individuals. The program offers these students foundational work experience that prepares them for the tech workforce. Break […]
Exploring computational chemistry using Quantinuum’s InQuanto on AWS
Introduction Quantum computers hold the promise of driving novel approaches to solving complex problems across multiple fields, including optimization, machine learning, and the simulation of physical systems. Researchers are already using quantum computers to explore computational chemistry problems, however the scale and capabilities of quantum devices available today is limited by noise and other factors. […]
Suppressing errors with dynamical decoupling using pulse control on HAQM Braket
Introduction The quantum state of a qubit is extremely fragile, as any interaction with its environment generally results in uncontrolled changes. The fragility of quantum states means that errors are a fundamental problem for quantum computers, making quantum error correction a key enabler for using quantum computing to solve large problems. However, error correction is […]
Introducing the HAQM Braket Algorithm Library
Research scientists and quantum algorithm developers are often new to cloud computing. Their main focus during quantum algorithm development should center on writing algorithm code; however, they often spend time setting up and maintaining interactive development environments, estimating costs to run their code on classical or quantum hardware, and stitching together common subroutines. Today, we […]
Using D-Wave Leap from the AWS Marketplace with HAQM 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 HAQM Braket, the cloud computing service of AWS. In this blog, we will show how you can continue to use the HAQM Braket SDK to describe quantum […]
Optimization with a Rydberg atom-based quantum processor
HAQM Braket recently launched the Aquila quantum processing unit (QPU) based on Rydberg atoms by QuEra Computing. In a previous post, we explored how researchers can use Rydberg devices to study problems and quantum phenomena in fundamental physics, for instance the emergence of a spin liquid phase [Semeghini et al., 2021]. But QuEra’s device also […]