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CONTRIBUTING.md
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@ -13,9 +13,10 @@ When making a **pull request**, please make sure to:
- Make a separate pull request for each suggestion.
- Include a link to the resource and briefly describe what it is and why it should be included.
- Add new categories or improve existing categorization when appropriate.
- Within categories, please ensure link names are in alphabetical order.
- Have your description:
- Be short and simple, descriptive but not pitchy or promotional.
- Follow this format: `[package](link) - Description.`
- Follow this format: `[name](link) - Description.`
- Start with a capital and end with a full stop/period; no trailing whitespace.
- Checked for spelling and grammar.

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README.md
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@ -9,22 +9,40 @@ Sharing, suggestions and contributions are always welcome! Please take a look at
## Contents
- [Learning](#learning)
- [MOOCS](#moocs)
- [Development Tools](#development-tools)
- [Blogs](#blogs)
- [Books](#books)
## Learning
- [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.
- [Nielsen and Chuang](http://quantum.wobblybit.com/category/nielsenchuang/) - Worked examples on quantum algorithm problems
- [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.
- [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.
## MOOCs
- [MIT Quantum Information Sciences](https://ocw.mit.edu/courses/media-arts-and-sciences/mas-865j-quantum-information-science-spring-2006/lecture-notes/) - A 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) - A 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) - Discover quantum computers and the quantum internet. Learn the principles and promises behind these developments 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) - A conceptual introduction to the fundamental principles of quantum mechanics.
## Development Tools
- [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.
- [QCL](http://tph.tuwien.ac.at/~oemer/qcl.html) - An 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.
- [pyQuil](https://github.com/rigetticomputing/pyquil) - A Python library for quantum programming using Quil.
## Blogs
- [Decodoku](https://medium.com/@decodoku) - Interesting posts on quantum computation, by James Wootton.
## Books
- [Quantum Computation and Quantum Information](https://books.google.com/books/about/Quantum_Computation_and_Quantum_Informat.html?id=-s4DEy7o-a0C&redir_esc=y) - A well appreciated comprehensive textbook for those with a bit of prior knowledge in maths, computer science and physics.