QSVC

class QSVC(*args, quantum_kernel=None, **kwargs)

Bases: SVC, SerializableModelMixin

Quantum Support Vector Classifier that extends the scikit-learn sklearn.svm.SVC classifier and introduces an additional quantum_kernel parameter.

This class shows how to use a quantum kernel for classification. The class inherits its methods like fit and predict from scikit-learn, see the example below. Read more in the scikit-learn user guide.

Example

qsvc = QSVC(quantum_kernel=qkernel)
qsvc.fit(sample_train,label_train)
qsvc.predict(sample_test)

Tham số:

• quantum_kernel (Optional[BaseKernel]) -- Quantum kernel to be used for classification.

• *args -- Variable length argument list to pass to SVC constructor.

• **kwargs -- Arbitrary keyword arguments to pass to SVC constructor.

Attributes

quantum_kernel

Returns quantum kernel

Methods