AWS Quantum Technologies Blog
Simulating Fluid Mechanics using Quantum Computing on Amazon Braket with Haiqu and Quanscient
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 […]
Design quantum integrated circuits with open-source software DeviceLayout.jl from AWS
Today, we are introducing DeviceLayout.jl, a software package for computer-aided design (CAD) of quantum integrated circuits. At the AWS Center for Quantum Computing (CQC), we use DeviceLayout.jl to design superconducting quantum devices on our path to building a fault-tolerant quantum computer—devices we’ve used for experiments like “Hardware-efficient error correction using concatenated bosonic qubits” (our “Ocelot” […]
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
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 […]
Fundamental Physics Simulations with Amazon Braket
Quantum computing holds the key to unlocking new frontiers in physics simulation. Our latest blog post demonstrates how to use Amazon Braket to simulate a model relevant to quantum chromodynamics, the fundamental theory of quarks and gluons. Discover the potential of this cutting-edge technology.
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 […]
Winners announced in the Airbus-BMW Group Quantum Computing Challenge
This post was contributed by Damian Steiger, Martin Schuetz, Alexander Opfolter, and Helmut Katzgraber The five winning teams of the Airbus and BMW Group Quantum Computing Challenge were announced today at the Q2B conference in Silicon Valley, California. The challenge, focused on tackling the most pressing applications in aviation and the automative industry, was a […]
Quantum-amenable pruning of large language models and large vision models using block coordinate descent
Fidelity and AWS have teamed up to put their brains together and create a Combinatorial Brain Surgeon (iCBS) to operate on AI models. This innovative pruning algorithm is just what the doctor ordered for your large-scale AI needs. Check out our latest blog for the full diagnosis.
Advancing hybrid quantum computing research with Amazon Braket and NVIDIA CUDA-Q
The future is hybrid quantum-classical computing. Find out how NVIDIA and Amazon are teaming up to advance hybrid quantum workflows.