AWS Quantum Technologies Blog

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 […]

Winners announced in the Airbus-BMW Group Quantum Computing Challenge

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

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.