Advanced use of QuASK
=========================

These series of tutorial dig in the advanced feature of *quask*. In the first tutorial we 
show how to make *quask* rely on one of the existing backends (Qiskit, Pennylane, Braket, Qibo, ...) 
as well as how to define a custom backend. Then, we will see particular feature that are not available
on most quantum machine learning frameworks. The second tutorial shows how to evaluate a quantum 
kernel according to several different criterias, and these can be used to diagnose poor performances of the model
or justify good ones. 


.. note::

    *quask* is an ongoing project. If you need a certain functionality to be supported or modified, 
    contact us to see if it can be quickly integrated.


Contents
--------

.. toctree::
    :maxdepth: 1

    quask_0_backends
    quask_1_evaluators
    quask_2_optimizers