These tutorials are rendered as part of the:
Welcome to the Qiskit Tutorials!
In this repository, we've put together a collection of Jupyter notebooks aimed at teaching people who want to use Qiskit for writing quantum computing programs, and executing them on one of several backends (online quantum processors, online simulators, and local simulators). The online quantum processors are the IBM Quantum systems.
For our community-contributed tutorials, please check out the qiskit-community-tutorials repository.
If you'd like to contribute to Qiskit Tutorials, please take a look at our contribution guidelines. This project adheres to Qiskit's code of conduct. By participating you are expected to uphold this code.
Because the tutorials are executed as part of the build process, and eventually turned into RST documentation, there are several limitations to be aware of:
There is currently a three minute per cell execution time limit. Cells that go over this limit will raise an exception.
Tutorials cannot make calls to the IBM Quantum Experience, e.g. no
It is important to maintain strict header compliance. All notebooks should start with, and contain only one, top level (h1) header:
# I am a top level header
Additionally, the nesting of headers should make sense:
# I am a top level header ## I am a secondary header ### I am a tertiary header ## I am another secondary header ## I am another secondary header
All math equations expressed using
$$ ... $$need to be surrounded on top and bottom by white space.
In order for a tutorial to show up in the Qiskit documentation, after successful merging, an additional PR needs to be made in the Qiskit meta-repo to trigger the rebuilding of the documentation.
Adding a gallery image
To add a gallery image to a notebook, select a cell with an output image and add
nbsphinx-thumbnail as a cell tag. To see the cell tags go to:
View -> Cell Toolbar -> Tags in the notebook menu. Adding gallery images from images not generated inside of the notebooks themselves should be avoided if possible as this gets messy in the present build system.
In addition to serving up standalone notebooks, this repository also includes the infrastructure needed to build the tutorials into HTML documentation using Sphinx. Along with the Qiskit dependencies, building the documentation requires the following:
- Fork and clone the forked repository.
- Create a new virtual environment and install pip:
conda create -n qiskit-tutorials-dev pip
- Activate virtual environment:
conda activate qiskit-tutorials-dev
- Install python dependencies in your new virtual environment:
pip install -r requirements-dev.txt
- Install non-python dependencies:
conda install pandoc graphviz
- Create a local build:
sphinx-build -b html . _build