awesome-quantum-computing/README.md
2019-02-17 17:34:46 +05:30

104 lines
10 KiB
Markdown
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

# 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)
- [Videos](#videos)
- [Community](#community)
## Learning
- [Documentation for Forest and pyQuil](http://pyquil.readthedocs.io/en/latest/) - Tutorials for Rigetti Computing's SDK.
- [Documentation for Strawberry Fields](https://strawberryfields.readthedocs.io/en/latest/) - Background information on the photonic continuous-variable approach to quantum computation, as well as tutorials for Xanadus 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](https://workedproblems.wordpress.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 Machine Learning](https://www.edx.org/course/quantum-machine-learning) - Learn about the benefits quantum technologies can provide to machine learning.
- [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.
- [Quantum Quest](https://www.quantum-quest.nl/) - A web class for high school students, organised by QuSoft.
## 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.
- [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 LGPL-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.
- [Q#](https://docs.microsoft.com/en-gb/quantum/?view=qsharp-preview) - Microsoft quantum development kit and Q# programming language.
## 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
- [Classical and Quantum Computation](https://books.google.com.au/books/about/Classical_and_Quantum_Computation.html?id=TrMposZZ0MQC&redir_esc=y) - Introduction to fundamentals of classical and quantum computing.
- [Problems and Solutions in Quantum Computing](https://www.worldscientific.com/worldscibooks/10.1142/6077#) - Easy to advanced quantum computing and information problems with detailed solutions.
- [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: A Gentle Introduction](http://mmrc.amss.cas.cn/tlb/201702/W020170224608150244118.pdf) - Explains quantum computing with only basic college maths knowledge needed.
- [Quantum Computing Explained](https://www.amazon.com/Quantum-Computing-Explained-David-McMahon/dp/0470096993) - Conversational approach to explaining quantum computing with worked solutions.
- [Quantum Computing for Computer Scientists](https://www.amazon.com/Quantum-Computing-Computer-Scientists-Yanofsky/dp/0521879965) - Quantum computing explained using an approach 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.
## Videos
- [Introduction to Quantum Programming](https://skillsmatter.com/skillscasts/11929-programming-the-world-s-first-quantum-computers-using-forest) - The why and how of quantum programming with a focus on the Python Forest SDK from Rigetti.
- [Quantum Computing for Computer Scientists](https://www.youtube.com/watch?v=F_Riqjdh2oM) - Microsoft Research Talk on introductory quantum computing for computer scientists. Duration: 1 hour, 28 minutes.
- [Quantum Computing for the Determined](https://www.youtube.com/playlist?list=PL1826E60FD05B44E4) - A series of lectures on quantum computing basics by [Michael Nielsen](http://michaelnielsen.org/).
## Community
- [D-Wave Leap Community](https://support.dwavesys.com/hc/en-us/community/topics) - D-Wave System's Leap Community Forum.
- [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.
- [Mike & Ike Subreddit](https://www.reddit.com/r/MikeAndIke/) - Discussion about the book Quantum Computation and Quantum Information.
- [Pennylane Discussion Forum](https://discuss.pennylane.ai/) - Discussion forum for quantum machine learning, both using simulations and on near term hardware.
- [Quantum Computing StackExchange](http://quantumcomputing.stackexchange.com/) - Question and answer site for quantum computing.
- [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.
- [Strawberry Fields Community](https://u.strawberryfields.ai/slack) - Slack channel for Xanadu and Strawberry Fields photonic/CV quantum computing discussions.
- [Quantum Computing Slack Community](https://quantum-computing.herokuapp.com/) - Slack channels for discussion of quantum computing.
## 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.