Giter Club home page Giter Club logo

strawberryfields's Introduction

Strawberry Fields


Travis Codecov coverage CodeFactor Grade Read the Docs PyPI PyPI - Python Version

Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable quantum optical circuits.

Features

  • An open-source software architecture for photonic quantum computing
  • Execute algorithms on photonic quantum computing chips via the Xanadu Quantum Cloud
  • Includes high-level functions for solving practical problems including graph and network optimization, machine learning and chemistry
  • Includes quantum simulators implemented using NumPy and TensorFlow—with built-in quantum compilation
  • Powers the Strawberry Fields Interactive web app, which allows anyone to run a quantum computing simulation via drag and drop

Installation

Strawberry Fields requires Python version 3.6, 3.7, or 3.8. Installation of Strawberry Fields, as well as all dependencies, can be done using pip:

pip install strawberryfields

Getting started

To see Strawberry Fields in action immediately, try out our Strawberry Fields Interactive web application. Prepare your initial states, drag and drop gates, and watch your simulation run in real time right in your web browser.

For getting started with writing your own Strawberry Fields code, follow the installation page to get Strawberry Fields up and running, then jump over to the tutorials to see what you can do.

Users interested in applications of photonic quantum computers should check out the Graphs and Networks, Machine Learning and Chemistry pages. Those wanting to dig deeper into the design of circuits can head to the quantum circuits page.

Developers can head to the development guide to see how they can contribute to Strawberry Fields.

Contributing to Strawberry Fields

We welcome contributions - simply fork the Strawberry Fields repository, and then make a pull request containing your contribution. All contributors to Strawberry Fields will be listed as authors on the releases.

We also encourage bug reports, suggestions for new features and enhancements, and even links to cool projects or applications built on Strawberry Fields.

See our contributions page for more details, and then check out some of the Strawberry Fields challenges for some inspiration.

Authors

Strawberry Fields is the work of many contributors.

If you are doing research using Strawberry Fields, please cite our papers:

Nathan Killoran, Josh Izaac, Nicolás Quesada, Ville Bergholm, Matthew Amy, and Christian Weedbrook. "Strawberry Fields: A Software Platform for Photonic Quantum Computing", Quantum, 3, 129 (2019).

Thomas R. Bromley, Juan Miguel Arrazola, Soran Jahangiri, Josh Izaac, Nicolás Quesada, Alain Delgado Gran, Maria Schuld, Jeremy Swinarton, Zeid Zabaneh, and Nathan Killoran. "Applications of Near-Term Photonic Quantum Computers: Software and Algorithms", Quantum Sci. Technol. 5 034010 (2020).

Support

If you are having issues, please let us know by posting the issue on our Github issue tracker.

We also have a Slack channel and a discussion forum - come join the discussion and chat with our Strawberry Fields team.

License

Strawberry Fields is free and open source, released under the Apache License, Version 2.0.

strawberryfields's People

Contributors

josh146 avatar co9olguy avatar nquesada avatar thisac avatar trbromley avatar smite avatar lucaman99 avatar antalszava avatar ixfoduap avatar ishdhand avatar ziofil avatar soranjh avatar tom-xanadu avatar cgogolin avatar lneuhaus avatar shreyapkumar avatar artix41 avatar briannagopaul avatar jleni avatar dumkar avatar pauljxtan avatar xueshiguo avatar cclauss avatar dependabot[bot] avatar egbquantum avatar quantshah avatar

Watchers

 avatar

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.