Jupyter example: Quantum distance-based classifier (part 1)

Jupyter notebook example: Quantum distance-based classifier (part 1)

This notebook is part 1 in a series of 3 notebooks on classification of data using quantum algorithms. Classification is a form of machine learning in which labels are assigned to data, often with respect to other data. For instance, we can classify between animals having 2 or 4 legs or a different number.
Click on the Binder link in the notebook to open an interactive version.

This notebook has been provided by Robert Wezeman from TNO.

More noteboooks can be found on our github examples repository. You can also use Binder to start an interactive session using the other notebooks.