AWS Quantum Technologies Blog

Tag: Quantum Technologies

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 […]

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.

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.