Category: Amazon Braket

Explore a hands-on quantum algorithm that illustrates how quantum techniques like Monte Carlo estimation can outperform classical methods. Read our new blog for the details.

Can variational quantum algorithms find useful applications before full error correction? Our new post analyzes VQE performance under noise for quantum chemistry.

Accelerate your quantum programming with a custom generative AI assistant for Amazon Braket. Learn how to build your own AI-powered code assistant in our latest post.

In this post, we’ll explore quantum computing using Amazon Braket. We’ll take an educational approach for this by using a well-known quantum algorithm, Grover’s algorithm. We’ll first explain how Grover’s algorithm works, then we’ll introduce the dinner party problem which involves identifying a set of friends that can be invited together to a party satisfying […]

Curious how quantum technology training at universities is shaping the field? See how UW’s Accelerating Quantum-Enabled Technologies program guided students’ QAOA project with Amazon Braket.

Exciting news for the quantum computing community! Amazon Braket has just onboarded Rigetti’s newest 84-qubit superconducting quantum processor, Ankaa-2. This device offers faster gate times, improved fidelities, and 24/7 availability. Learn more about how you can access Ankaa-2 and start running algorithms today in this new blog post.

Using AWS advanced computing, the Australian Red Cross Lifeblood achieved theoretical cost reductions of up to 46% by optimizing nurse scheduling – key to meeting rising blood donation demand affordably.

Amazon Braket brings quantum computing to more users with a new 20-qubit processor from IQM in the EU. See how this tech could shape the future in our blog post.

Three new capabilities launched today for Aquila on Amazon Braket let you customize lattice geometry and detuning. Learn how increased flexibility empowers your research.

Check out our latest blog to learn how we implemented a cost-effective development cycle for training a hybrid quantum-classical algorithm using Amazon Braket and hyperparameter optimization.