A curated list of awesome quantum computing learning and developing resources.
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Awesome Quantum Computing Awesome

A curated list of awesome quantum computing learning and developing resources. The goal is to build a categorised community-driven collection of up to date, high quality resources.

Sharing, suggestions and contributions are always welcome! Please take a look at the contribution guidelines and quality standard first. Thanks to all contributors, you're awesome and it wouldn't be possible without you!

Contents

Learning

MOOCs

Development Tools

  • Cirq - Python library for writing, manipulating, and optimizing NISQ circuits to run on quantum computers.
  • IBM Quantum Composer - Online quantum composer to run experiments on real quantum computing hardware.
  • Microsoft Quantum Development Kit - Microsoft Q# programming language.
  • Project Q - Framework for implementing quantum computing in Python.
  • pyQuil - Python library for quantum programming using Quil.
  • QCL - Older, C like language for quantum computers. Only has a simulator and debugger.
  • QISKit SDK - Software development kit for working with OpenQASM and the IBM Q Experience.
  • Qrack - High performance GPL-licensed C++ quantum simulator library, documentation, and test code.
  • Quipper - Embedded, scalable, functional programming language for quantum computing.
  • QuTiP - Quantum toolbox in Python for simulating dynamics of open quantum systems.

Blogs

  • Algorithmic Assertions - About quantum computing and computing in general by Craig Gidney - a member of Google Quantum Computing Team.
  • Bits of Quantum - By the QuTech institution, sharing their research and daily life.
  • Decodoku - Interesting posts on quantum computation, by James Wootton.
  • Quantum Frontiers - By the Quantum Institute for Quantum Information and Matter, sharing behind the scenes research insights.

Books

Papers

Community