awesome-quantum-computing/README.md

# Awesome Quantum Computing [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)

[<img src="https://raw.githubusercontent.com/desireevl/awesome-quantum-computing/master/logo.png" align="right" width="110">](https://en.wikipedia.org/wiki/Quantum_computing)

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](#learning)
- [MOOCS](#moocs)
- [Development Tools](#development-tools)
- [Blogs](#blogs)
- [Books](#books)
- [Papers](#papers)
- [Community](#community)

## Learning

- [Documentation for Forest and pyQuil](http://pyquil.readthedocs.io/en/latest/) - Tutorials for Rigetti Computing's SDK.
- [IBM Q Full User Guide](https://quantumexperience.ng.bluemix.net/qx/tutorial?sectionId=full-user-guide&page=introduction) - Short tutorials providing a gentle introduction to quantum computing and IBM Q.
- [John Preskill's Notes on Quantum Computation](http://www.theory.caltech.edu/~preskill/ph219/index.html#lecture) - Notes of Caltech's Quantum Computation Course Physics 219/Computer Science 219 by John Preskill.
- [Nielsen and Chuang](http://quantum.wobblybit.com/category/nielsenchuang/) - Worked examples on quantum algorithm problems.
- [QISKit Tutorials](https://github.com/QISKit/qiskit-tutorial) - Jupyter notebooks simply demonstrating how to use QISKit.
- [Quantum Algorithm Zoo](http://math.nist.gov/quantum/zoo/) - Comprehensive catalog of quantum algorithms. 
- [Quantum Computing Playground](http://www.quantumplayground.net/#/home) - 3D quantum state visualisation tool able to simulate up to 22 qubits.
- [Quantum in the Cloud](http://cnotmz.appspot.com/#) - Four qubit photonic quantum simulator and computer.
- [Quantum Katas](https://github.com/Microsoft/QuantumKatas/) - Programming exercises for learning quantum computing and Q#.
- [Quantum Machine Learning for Data Scientists](https://arxiv.org/pdf/1804.10068.pdf) - Explanation of quantum machine learning algorithms.
- [Quirk](http://algassert.com/quirk) - Browser-based drag-and-drop quantum circuit simulator that reacts, simulates, and animates in real-time.

## MOOCs

- [MIT Quantum Information Sciences](https://ocw.mit.edu/courses/media-arts-and-sciences/mas-865j-quantum-information-science-spring-2006/lecture-notes/) - Series of lecture notes on the MIT quantum information sciences course.
- [Quantum Cryptography](https://www.edx.org/course/quantum-cryptography-caltechx-delftx-qucryptox-0) - Learn how quantum communication provides security that is guaranteed by the laws of nature.
- [Quantum Information Science I, Part I](https://www.edx.org/course/quantum-information-science-i) - Foundational course on quantum information and computation.
- [The Quantum Internet and Quantum Computers: How Will They Change the World?](https://www.edx.org/course/quantum-internet-quantum-computers-how-delftx-qtm1x) - Learn the principles and promises behind developments in quantum computers and quantum internet and how they will impact our future.
- [Quantum Mechanics and Quantum Computation](https://www.edx.org/course/quantum-mechanics-quantum-computation-uc-berkeleyx-cs-191x) - Conceptual introduction to the fundamental  principles of quantum mechanics.
- [Understanding Quantum Computers](https://www.futurelearn.com/courses/intro-to-quantum-computing) - Introduction to the key concepts of quantum computing with minimal mathematics.

## Development Tools

- [Cirq](https://github.com/quantumlib/Cirq) - Python library for writing, manipulating, and optimizing NISQ circuits to run on quantum computers.
- [IBM Quantum Composer](https://quantumexperience.ng.bluemix.net/qx/editor) - Online quantum composer to run experiments on real quantum computing hardware.
- [Microsoft Quantum Development Kit](https://docs.microsoft.com/en-us/quantum/?view=qsharp-preview) - Microsoft Q# programming language.
- [Project Q](http://projectq.ch/) - Framework for implementing quantum computing in Python.
- [pyQuil](https://github.com/rigetticomputing/pyquil) - Python library for quantum programming using Quil.
- [QCL](http://tph.tuwien.ac.at/~oemer/qcl.html) - Older, C like language for quantum computers. Only has a simulator and debugger.
- [QISKit SDK](https://github.com/QISKit/qiskit-sdk-py) - Software development kit for working with OpenQASM and the IBM Q Experience.
- [Qrack](https://vm6502q.readthedocs.io) - High performance GPL-licensed C++ quantum simulator library, documentation, and test code.
- [Quipper](https://www.mathstat.dal.ca/~selinger/quipper/) - Embedded, scalable, functional programming language for quantum computing.
- [QuTiP](http://qutip.org/docs/latest/index.html) - Quantum toolbox in Python for simulating dynamics of open quantum systems.

## Blogs

- [Algorithmic Assertions](http://algassert.com/) - About quantum computing and computing in general by Craig Gidney - a member of Google Quantum Computing Team.
- [Bits of Quantum](http://blog.qutech.nl/) - By the QuTech institution, sharing their research and daily life.
- [Decodoku](https://medium.com/@decodoku) - Interesting posts on quantum computation, by James Wootton.
- [Quantum Frontiers](https://quantumfrontiers.com/) - By the Quantum Institute for Quantum Information and Matter, sharing behind the scenes research insights.
- [Quantum Weekly](https://quantumweekly.com/) - A weekly correlation of all things quantum - computing, cryptography, entanglement.

## Books

- [Quantum Computation and Quantum Information](http://www-reynal.ensea.fr/docs/iq/QC10th.pdf) - Comprehensive textbook for those with some prior knowledge in mathematics, computer science and physics.
- [Quantum Computing for Computer Scientists](https://www.amazon.com/Quantum-Computing-Computer-Scientists-Yanofsky/dp/0521879965) - Quantum computing explained using an approach that is accessible to undergraduate computer science students.

## Papers

- [Opportunities and Challenges for Quantum Machine Learning](https://arxiv.org/abs/1708.09757) - Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers.
- [Quantum Machine Learning](https://www.researchgate.net/publication/264825604_Quantum_Machine_Learning_What_Quantum_Computing_Means_to_Data_Mining) - Quantum machine learning and what quantum computing means to data mining.

## Community

- [IBM Q Community](https://quantumexperience.ng.bluemix.net/qx/community) - IBM Quantum experience Community Forum.
- [IBM Q QISKit Community](https://qiskit.slack.com/) - Slack Channel for QISKit and quantum computing discussions.
- [Quantum Information and Quantum Computer Scientists of the World Unite](https://www.facebook.com/groups/qinfo.scientists.unite/) - Facebook group for quantum research discussion. 
- [Rigetti Community](http://slack.rigetti.com/) - Slack Channel for Rigetti and quantum computing discussions.

## License
[![CC0](http://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg)](https://creativecommons.org/publicdomain/zero/1.0/)

To the extent possible under law, [Desiree Vogt-Lee](https://github.com/desireevl) has waived all copyright and related or neighboring rights to this work.