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Add Qiskit textbook and video series

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@ -23,6 +23,9 @@ For further resources related to Open Source Quantum Software Projects, please c
## Learning
- [Learn Quantum Computation using Qiskit](http://community.qiskit.org/textbook) - An open-source textbook covering
quantum algorithms and showing how to run them on real hardware using Qiskit. Also covers prerequisites.
- [Coding with Qiskit video series](https://www.youtube.com/playlist?list=PLOFEBzvs-Vvp2xg9-POLJhQwtVktlYGbY) - YouTube video series showing how to write quantum algorithms
- [An Interactive Introduction to Quantum Computing](https://davidbkemp.github.io/QuantumComputingArticle/) - Interactive learning for quantum gate computing by David Kemp.
- [CNOT](https://cnot.io/) - Easy to understand, step by step introduction to quantum computing concepts.
- [Documentation for Forest and pyQuil](http://pyquil.readthedocs.io/en/latest/) - Tutorials for Rigetti Computing's SDK.
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## 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.
- [IBM Quantum Experience](https://quantum-computing.ibm.com) - Online quantum composer to run experiments on real quantum computing hardware.
- [NISQAI](https://github.com/quantumai-lib/nisqai) - Library for performing quantum artificial intelligence on near-term quantum computers.
- [Ocean](https://docs.ocean.dwavesys.com/en/latest/overview/install.html) - D-Wave's SDK for developing on their quantum computers using Python.
- [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 by Rigetti.
- [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 by IBM for working with OpenQASM and the IBM Q Experience.
- [Qiskit SDK](https://qiskit.org) - Software development kit by IBM for writing and running quantum algorithms on simulators and real hardware.
- [Qiskit.js](https://github.com/QISKit/qiskit-js) - Qiskit for JavaScript made by IBM.
- [Qrack](https://vm6502q.readthedocs.io) - High performance LGPL-licensed C++ quantum simulator library, documentation, and test code.
- [Quantum++](https://github.com/vsoftco/qpp) - High performance modern C++11 quantum computing library.
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## Blogs
- [Qiskit blog](https://medium.com/qiskit) - All about quantum computation from the Qiskit community team
- [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.
- [Dawid Kopczyk](http://dkopczyk.quantee.co.uk/category/quantum_computing/) - Quantum algorithms explained to data scientists with visualisations.
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## 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 Community](https://community.qiskit.org/) - IBM Q Community page with list of upcoming events and latest programs.
- [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.