A curated list of awesome quantum computing learning and developing resources. The goal is to build a categorised community-driven collection of up to date, high quality resources.
Sharing, suggestions and contributions are always welcome! Please take a look at the contribution guidelines and quality standard first. Thanks to all contributors, you're awesome and it wouldn't be possible without you!
- [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
- [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.
- [IBM Quantum Composer](https://quantumexperience.ng.bluemix.net/qx/editor) - Online quantum composer to run experiments on real quantum computing hardware.
- [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.
