Category: 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 […]

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 […]

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.

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.

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 […]

The future is hybrid quantum-classical computing. Find out how NVIDIA and Amazon are teaming up to advance hybrid quantum workflows.

Quantum computing promises to revolutionize industries. Our new Quantum Embark program provides expert guidance to help you harness its potential.

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 […]