Amazon Braket Labs

We welcome community contributions for Amazon Braket and are excited to highlight them in Amazon Braket Labs. These projects are community driven and include frameworks, examples, and convenience methods built on-top of Amazon Braket.

⚠️ The following includes projects that are not provided by AWS. You are solely responsible for your use of those projects (including compliance with any applicable licenses and fitness of the project for your particular purpose). ⚠️

Catalog

Community components

• Bloqade: Bloqade is an SDK designed to make writing and analyzing the results of analog quantum programs on QuEra's neutral atom quantum computers as seamless and flexible as possible.
• QRC-tutorials: A set of tutorials for quantum reservoir computing (QRC), including introduction of classical spin reservior, QRC for image classification and time series prediction on QuEra's neutral atom quantum computers.
• Classiq: Create quantum programs with Classiq. An up to date library of applications, algorithms, functions and tutorials, built with Classiq.
• Mitiq: Mitiq is an open source toolkit for implementing error mitigation techniques on current intermediate-scale quantum computers.
• OpenQAOA: A python library from EntropicaLabs for quantum optimization using QAOA on Quantum computers and Quantum computer simulators.
• Quantum state preparation: Implementations and performance testings for quantum state preparation circuits.
• Tangelo: Quantum chemistry workflows for quantum computers. For examples on how to use with Braket see this tutorial and this AWS Quantum blog post.
• qoqo-for-braket: A backend for the qoqo quantum computing toolkit that lets users run qoqo quantum programs on braket.
• SimuQ: A framework for programming quantum Hamiltonian systems and deploying their simulation on analog quantum simulators and digital quantum computers. An tutorial notebook employs Braket to deploy the simulation on QuEra's and IonQ's quantum devices.

Experimental components

• Amazon Braket Julia SDK: This package is a Julia implementation of the Amazon Braket SDK allowing customers to access Quantum Hardware and Simulators.
• AutoQASM: This experimental module offers a new quantum-imperative programming experience embedded in Python for developing quantum programs.
• Cost control solution: This solution enables near real-time monitoring and control of costs incurred by Amazon Braket quantum tasks.
• Tensor Network for Analog Hamiltonian Simulation: This package implements a tensor network based algorithm for simulating Rydberg atom dynamics.

Resources

Tools

The Amazon Braket team maintains the following tools that you can use to develop, test, and deploy Braket components.

• Amazon Braket Build Tools

Documentation

See the Braket developer guide to learn more about the features that you can leverage to create components and applications for your use case.

License

This catalog is licensed under the CC BY-SA 4.0 License.