Add more tutorials and example notebooks in the documentation

[dimkart]

Description

In an open-source project like lambeq, you can never have too many tutorials or example notebooks. This open-ended task asks for contributions on this matter. Any meaningful tutorial is welcome, but some concrete suggestions are also provided below:

• Write a tutorial for a multi-class classification task.
• Write a tutorial for a regression task.
• Write a tutorial that explains basic quantum concepts such as qubits, gates, entanglement etc using lambeq circuits or string diagrams.

Notes

• A good option for writing your training tutorials is the PennyLane model, since it's quite flexible to cover most of the important use cases.
• lambeq documentation is generated with Sphinx, and is written in restructured text (RST) format.
• lambeq tutorials that contain code are Jupyter notebooks, whose text cells are written in RST format so they can be integrated easily with the rest of the documentation. To mark a cell as RST in Jupyter notebook's web editor, do the following:
  1. Display the raw cell format toolbar by selecting View > Cell Toolbar > Raw cell format
  2. Select the cell and and then the option Cell > Cell type > Raw NBConvert
  3. Select from cell's "Raw NBConvert Format" menu the option "reST".

See also:

• Sphinx
• Jupyter
• Hybrid training tutorial with PennyLane
• Restructured Text primer
• Current lambeq tutorial notebooks
• Current lambeq example notebooks

[ACE07-Sev]

May I first make a PR for a binary classifier, and then add the multiclass classifier as a extension of that?

It would also help me apply the feedback from that to the multiclass tutorial.

[dimkart]

Hi, we really don't need another binary classification example, since all tutorials are currently like that. I would say just proceed directly to the multi-class case. The changes are not that big anyway.

[goodship1]

hi i will add a few tutorials any think in particular you would like too see ?

[dimkart]

@goodship1 Hi and thanks for volunteering. Here are few ideas:

• A multi-class classification example e.g. with PennyLane model
• A regression example
• An introductory tutorial on quantum computing showing basic concepts in lambeq's context, e.g. how qubits are represented as (2,) tensors, how circuits are evaluated etc.