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 …
Read More
To build machine learning models, machine learning engineers need to develop a data transformation pipeline to prepare the data. The process of designing this pipeline is time-consuming and requires a cross-team collaboration between …
Read More
In this blog post we develop a chemistry use case by augmenting classical algorithms for Quantum Monte Carlo with quantum computers. We will explain how to run these quantum-classical hybrid algorithms using Amazon Braket. You can find the …
Read More
We have given you the flexibility and ability to run the largest and most complex high performance computing (HPC) workloads with Amazon Elastic Compute Cloud (Amazon EC2) instances that feature enhanced networking like C5n, C6gn, R5n, M5n, …
Read More
Today, we’re announcing AWS SimSpace Weaver, a new compute service to run real-time spatial simulations in the cloud and at scale. With SimSpace Weaver, simulation developers are no longer limited by the compute and memory of their …
Read More
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 …
Read More
We are getting ready to launch three new Amazon Elastic Compute Cloud (Amazon EC2) instance types and I am happy to be able to give you a sneak peek at them today. C7gn Instances are designed for your most demanding network-intensive …
Read More
Since launch, EFA has seen continuous improvements in performance. In this post, we talk about our 2nd generation of EFA, which takes another step in improving Machine Learning and High Performance Computing in the Cloud. Read the Post on …
Read More