QSVC

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

Bases: sklearn.svm._classes.SVC, qiskit_machine_learning.algorithms.serializable_model.SerializableModelMixin

Quantum Support Vector Classifier.

This class shows how to use a quantum kernel for classification. The class extends sklearn.svm.SVC, and thus inherits its methods like fit and predict used in the example below. Read more in the sklearn user guide.

Example

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

Parameters

• quantum_kernel (Optional[QuantumKernel]) -- QuantumKernel 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