Add Rigetti resources and Quantum computing for Computer Scientists textbook

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vtomole 2018-01-23 09:24:51 -06:00
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## 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.
- [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.
## Development Tools
- [IBM Quantum Composer](https://quantumexperience.ng.bluemix.net/qx/editor) - Online quantum composer to run experiments on real quantum computing hardware.
- [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.
## 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.
- [Quantum Computing for Computer Scientists](https://www.amazon.com/Quantum-Computing-Computer-Scientists-Yanofsky/dp/0521879965) - This textbook teaches quantum computing using an approach that is accessible to undergraduate computer science students.