Quantum Kernel SVM
==================

This tutorial shows how to use ``QSVC`` with ``FidelityQuantumKernel``.

Setup
------

.. code-block:: python

   from sklearn.datasets import make_circles
   from sklearn.model_selection import train_test_split
   from psipose.estimators import QSVC
   from psipose.kernels import FidelityQuantumKernel

Generate Data
-------------

.. code-block:: python

   X, y = make_circles(n_samples=100, noise=0.1, factor=0.5, random_state=42)
   X_train, X_test, y_train, y_test = train_test_split(
       X, y, test_size=0.3, random_state=42
   )

Train Quantum Kernel SVM
------------------------

.. code-block:: python

   kernel = FidelityQuantumKernel()
   svc = QSVC(kernel=kernel)
   svc.fit(X_train, y_train)

   print(f"Accuracy: {svc.score(X_test, y_test):.2%}")