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@ -13,9 +13,10 @@ When making a **pull request**, please make sure to:
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- Make a separate pull request for each suggestion.
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- Include a link to the resource and briefly describe what it is and why it should be included.
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- Add new categories or improve existing categorization when appropriate.
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- Within categories, please ensure link names are in alphabetical order.
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- Have your description:
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- Be short and simple, descriptive but not pitchy or promotional.
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- Follow this format: `[package](link) - Description.`
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- Follow this format: `[name](link) - Description.`
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- Start with a capital and end with a full stop/period; no trailing whitespace.
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- Checked for spelling and grammar.
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README.md
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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
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## Contents
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- [Learning](#learning)
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- [MOOCS](#moocs)
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- [Development Tools](#development-tools)
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- [Blogs](#blogs)
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- [Books](#books)
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## Learning
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- [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.
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- [Nielsen and Chuang](http://quantum.wobblybit.com/category/nielsenchuang/) - Worked examples on quantum algorithm problems
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- [Documentation for Forest and pyQuil](http://pyquil.readthedocs.io/en/latest/) - Tutorials for Rigetti Computing's SDK.
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- [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.
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- [Nielsen and Chuang](http://quantum.wobblybit.com/category/nielsenchuang/) - Worked examples on quantum algorithm problems.
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- [QISKit Tutorials](https://github.com/QISKit/qiskit-tutorial) - Jupyter notebooks simply demonstrating how to use QISKit.
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- [Quantum Algorithm Zoo](http://math.nist.gov/quantum/zoo/) - Comprehensive catalog of quantum algorithms.
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## MOOCs
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- [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.
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- [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.
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- [Quantum Information Science I, Part I](https://www.edx.org/course/quantum-information-science-i) - A foundational course on quantum information and computation.
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- [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.
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- [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.
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## Development Tools
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- [IBM Quantum Composer](https://quantumexperience.ng.bluemix.net/qx/editor) - Online quantum composer to run experiments on real quantum computing hardware.
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- [Microsoft Quantum Development Kit](https://docs.microsoft.com/en-us/quantum/?view=qsharp-preview) - Microsoft Q# programming language.
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- [QCL](http://tph.tuwien.ac.at/~oemer/qcl.html) - An older, C like language for quantum computers. Only has a simulator and debugger.
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- [QISKit SDK](https://github.com/QISKit/qiskit-sdk-py) - Software development kit for working with OpenQASM and the IBM Q Experience.
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- [pyQuil](https://github.com/rigetticomputing/pyquil) - A Python library for quantum programming using Quil.
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## Blogs
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- [Decodoku](https://medium.com/@decodoku) - Interesting posts on quantum computation, by James Wootton.
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## Books
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- [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.
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