AWS Quantum Technologies Blog

Category: Amazon Braket

Amazon Braket launches new 54-qubit superconducting quantum processor from IQM

Amazon Braket enables customers to design and run quantum algorithms on a broad selection of quantum hardware through a unified interface. Today, we expand the hardware available on Braket with the general availability of IQM’s latest quantum processing unit (QPU). The device, named Emerald, is a 54-qubit superconducting QPU providing customers higher fidelity gates and […]

Simulating Fluid Mechanics using Quantum Computing on Amazon Braket with Haiqu and Quanscient

by Dmitri Iouchtchenko, Michael Brett, Ljubomir Budinski, Maciej Koch-Janusz, Mykola Maksymenko, Ossi Niemimäki, Valtteri Lahtinen, Vidyasagar Ananthan, and Vladyslav Bohun on in Amazon Braket, Quantum Technologies Permalink Share

Numerical simulations of complex fluid dynamics, electromagnetics and thermomechanical problems are crucial in the automotive and aerospace industries for designing and optimizing components like airplane wings, yet modeling continuum physics on high-resolution grids pushes classical computing to its limits. Quantum computing offers a potential path to overcome these barriers by encoding large simulation grids with […]

Experiment with dynamic circuits on IQM Garnet with Amazon Braket

Experiment with dynamic circuits on IQM Garnet with Amazon Braket

Customers use Amazon Braket to design and run quantum algorithms to explore applications of quantum computing. As the complexity of research workloads matures, it is important to have access to innovative capabilities. In this blog post, we announce an expansion of Amazon Braket’s experimental capabilities by adding support for dynamic circuits on the IQM Garnet […]

Modeling a nitrogen-vacancy center with NVIDIA CUDA-Q Dynamics: University of Washington Capstone Project

Modeling a nitrogen-vacancy center with NVIDIA CUDA-Q Dynamics: University of Washington Capstone Project

Defects in crystals are leading qubit candidates for quantum information networks. The ability to efficiently model defects, like nitrogen-vacancy (NV) centers, and their environment would deepen our understanding of these complex quantum systems and accelerate the use of these defects in scalable quantum networks. To study complex quantum systems like these and advance basic research […]

Improve quantum workload performance with Q-CTRL’s Fire Opal error suppression for IonQ processors on Amazon Braket

Boost the performance of your quantum workloads on IonQ hardware with Q-CTRL’s Fire Opal error suppression technology, now available on Amazon Braket. Achieve increased accuracy and run deeper, wider circuits with just a few lines of code.

How to run CUDA-Q programs on Amazon Braket notebook instances

Amazon Braket provides access to quantum computing resources and tools to develop quantum algorithms, test them on quantum circuit simulators, and run them on different quantum hardware technologies. Amazon Braket notebooks provide customers with a fully managed development environment that comes pre-installed with a range of and quantum development frameworks, including the Amazon Braket SDK […]