Giter Club home page Giter Club logo

amazon-braket-labs's Introduction

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

  • Python 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.
  • Jupyter Notebook Python Classiq: Create quantum programs with Classiq. An up to date library of applications, algorithms, functions and tutorials, built with Classiq.
  • Python OpenQAOA: A python library from EntropicaLabs for quantum optimization using QAOA on Quantum computers and Quantum computer simulators.
  • Python Quantum state preparation: Implementations and performance testings for quantum state preparation circuits.
  • Python Tangelo: Quantum chemistry workflows for quantum computers. For examples on how to use with Braket see this tutorial and this AWS Quantum blog post.

Experimental components

  • Julia Amazon Braket Julia SDK: This package is a Julia implementation of the Amazon Braket SDK allowing customers to access Quantum Hardware and Simulators.
  • Python AutoQASM: This experimental module offers a new quantum-imperative programming experience embedded in Python for developing quantum programs.
  • Python Cost control solution: This solution enables near real-time monitoring and control of costs incurred by Amazon Braket quantum tasks.
  • Julia 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.

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.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.