Quickstart
===========

Get started with psipose in 5 minutes.

Install
--------

.. code-block:: bash

   pip install psipose

Classify with VQCClassifier
---------------------------

.. code-block:: python

   from sklearn.datasets import make_moons
   from sklearn.model_selection import train_test_split
   from psipose.estimators.vqc import VQCClassifier

   # Generate data
   X, y = make_moons(n_samples=100, noise=0.1, random_state=42)
   X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42)

   # Create and train classifier
   clf = VQCClassifier(n_qubits=2, n_iter=50)
   clf.fit(X_train, y_train)

   # Predict
   accuracy = clf.score(X_test, y_test)
   print(f"Accuracy: {accuracy:.2%}")

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

.. code-block:: python

   from psipose.estimators.qsvc import QSVC
   from psipose.models import QuantumKernel

   # Create quantum kernel
   kernel = QuantumKernel()
   svc = QSVC(kernel=kernel)

   # Train and predict
   svc.fit(X_train, y_train)
   accuracy = svc.score(X_test, y_test)
   print(f"Accuracy: {accuracy:.2%}")