nagpalnitesh / qiskit-community-tutorials

A collection of Jupyter notebooks developed by the community showing how to use Qiskit

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Qiskit Community Tutorials

License

Welcome to the Qiskit community tutorials!

In this repository, we've put together a collection of awesome community-contributed Jupyter notebooks that leverage the features of Qiskit in education and applications. Feel free to navigate this repository, to Fork this repo, or to open the Binder image.

Contents

1 Hello, Quantum World with Qiskit

Learn from the community how to write your first quantum program.

2 Quantum Games with Qiskit

Learn quantum computing by having fun. How is there a better way!

3 Quantum Information Science with Qiskit Terra

Learn about and how to program quantum circuits using Qiskit Terra.

4 Textbook Quantum Algorithms with Qiskit Terra

Learn about textbook quantum algorithms, like Deutsch-Jozsa, Grover, and Shor using Qiskit Terra.

5 Developing Quantum Applications with Qiskit Aqua

Learn how to develop the fundamentals of quantum applications using Qiskit Aqua

6 Awards

Learn from the great contributions to the IBM Q Awards

Contribution Guidelines

If you'd like to contribute to Qiskit Community Tutorials, please take a look at our contribution guidelines. This project adheres to Qiskit's code of conduct. By participating, you are expect to uphold to this code.

We use GitHub issues for tracking requests and bugs. Please use our slack for discussion and simple questions. To join our Slack community, use the link. For questions that are more suited for a forum, we use the Qiskit tag in the Stack Exchange.

Authors and Citation

Qiskit Community Tutorials is the work of many people who contribute to the project at different levels. If you use Qiskit, please cite as per the included BibTeX file.

License

Apache License 2.0

About

A collection of Jupyter notebooks developed by the community showing how to use Qiskit

License:Apache License 2.0


Languages

Language:Jupyter Notebook 97.6%Language:TeX 1.7%Language:Python 0.7%Language:Batchfile 0.0%Language:Shell 0.0%