Algorithms (qiskit_machine_learning.algorithms)

Machine Learning Base Classes

TrainableModel	Base class for ML model.
ObjectiveFunction	An abstract objective function.
SerializableModelMixin	This class provides convenient methods for saving and loading models.

Machine Learning Objective Functions

BinaryObjectiveFunction	An objective function for binary representation of the output, e.g.
MultiClassObjectiveFunction	An objective function for multiclass representation of the output, e.g.
OneHotObjectiveFunction	An objective function for one hot encoding representation of the output, e.g.

Algorithms

Classifiers

Algorithms for data classification.

PegasosQSVC	This class implements Pegasos Quantum Support Vector Classifier algorithm developed in [1] and includes overridden methods fit and predict from the SVC super-class.
QSVC	Quantum Support Vector Classifier.
NeuralNetworkClassifier	Quantum neural network classifier.
VQC	Variational quantum classifier.

Regressors

Quantum Support Vector Regressor.

QSVR	Quantum Support Vector Regressor.
NeuralNetworkRegressor	Quantum neural network regressor.
VQR	Quantum neural network regressor using TwoLayerQNN

Distribution Learners

DiscriminativeNetwork	Base class for discriminative Quantum or Classical Neural Networks.
GenerativeNetwork	Base class for generative Quantum and Classical Neural Networks.
NumPyDiscriminator	Discriminator based on NumPy
PyTorchDiscriminator	Discriminator based on PyTorch
QuantumGenerator	Quantum Generator.
QGAN	The Quantum Generative Adversarial Network algorithm.