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@ -25,6 +25,7 @@ For further resources related to Open Source Quantum Software Projects, please c
## Learning
- [An Interactive Introduction to Quantum Computing](https://davidbkemp.github.io/QuantumComputingArticle/) - Interactive learning for quantum gate computing by David Kemp.
- [Black Opal](https://q-ctrl.com/black-opal) - An interactive platform for learning the fundamentals of quantum computing.
- [CNOT](https://cnot.io/) - Easy to understand, step by step introduction to quantum computing concepts.
- [Chris Ferrie](https://csferrie.medium.com/) - Univeristy Professor in Sydney, Australia, author of Quantum Computing for babies (and many more) as well as excellent Quantum Computing lectures on Medium.
- [Documentation for Forest and pyQuil](http://pyquil.readthedocs.io/en/latest/) - Tutorials for Rigetti Computing's SDK.
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- [Introduction to Quantum Computing](https://home.cern/news/announcement/computing/online-introductory-lectures-quantum-computing-6-november) - Online introductory lectures on quantum computing by CERN (European Organization for Nuclear Research).
- [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.
- [Q-CTRL Black Opal](https://q-ctrl.com/black-opal) - An interactive platform for learning the fundamentals of quantum computing.
- [Qiskit Tutorials](https://github.com/Qiskit/qiskit-tutorial) - Jupyter notebooks simply demonstrating how to use Qiskit.
- [Quantum Algorithm Implementations for Beginners](https://arxiv.org/pdf/1804.03719.pdf) - A brif survey of 20 different quantum algorithms using qiskit.
- [Quantum Algorithm Zoo](http://math.nist.gov/quantum/zoo/) - Comprehensive catalog of quantum algorithms.
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- [Amazon Braket](https://aws.amazon.com/braket/) - Fully managed service providing a development environment to run quantum circuits on quantum simulators and computers.
- [Blueqat](https://github.com/Blueqat/Blueqat) - Software development kit in Python for quantum gate computing.
- [Boulder Opal](https://q-ctrl.com/boulder-opal) - Python toolset for automating and optimizing quantum hardware performance.
- [Cirq](https://github.com/quantumlib/Cirq) - Python library for writing, manipulating, and optimizing NISQ circuits to run on quantum computers.
- [Covalent](https://github.com/AgnostiqHQ/covalent) - Framework for distributed computing on heterogeneous infrastructure from CPUs to GPUs to quantum computers.
- [Fire Opal](https://q-ctrl.com/fire-opal) - Python package for improving the quality of quantum algorithm results.
- [IBM Quantum Experience](https://quantum-computing.ibm.com) - Online quantum composer to run experiments on real quantum computing hardware.
- [Mitiq](https://mitiq.readthedocs.io/) - Python toolkit for implementing error mitigation techniques on quantum computers.
- [NISQAI](https://github.com/quantumai-lib/nisqai) - Library for performing quantum artificial intelligence on near-term quantum computers.