Index

A

ad_hoc_data() (in module qiskit_machine_learning.datasets) ansatz (QNNCircuit attribute) (VQC attribute) (VQR attribute)

assign_training_parameters() (TrainableFidelityQuantumKernel method) (TrainableFidelityStatevectorKernel method) (TrainableKernel method)

B

backward() (EstimatorQNN method) (NeuralNetwork method) (SamplerQNN method)

BaseKernel (class in qiskit_machine_learning.kernels) BinaryObjectiveFunction (class in qiskit_machine_learning.algorithms)

C

callback (NeuralNetworkClassifier attribute) (NeuralNetworkRegressor attribute) (TrainableModel attribute) (VQC attribute) (VQR attribute) circuit (EstimatorQNN attribute) (SamplerQNN attribute) (VQC attribute)

clear_cache() (FidelityStatevectorKernel method) (TrainableFidelityStatevectorKernel method) coef_ (QSVC attribute) (QSVR attribute) combine() (QuantumKernelTrainerResult method) converged (QBayesian attribute) cregs (QNNCircuit attribute) (RawFeatureVector attribute) CrossEntropyLoss (class in qiskit_machine_learning.utils.loss_functions)

D

decision_function() (PegasosQSVC method) (QSVC method)

default_precision (EstimatorQNN attribute) duration (QNNCircuit attribute) (RawFeatureVector attribute)

E

EffectiveDimension (class in qiskit_machine_learning.neural_networks) enforce_psd (BaseKernel attribute) (FidelityQuantumKernel attribute) (FidelityStatevectorKernel attribute) (TrainableFidelityQuantumKernel attribute) (TrainableFidelityStatevectorKernel attribute) (TrainableKernel attribute) estimator (EstimatorQNN attribute) EstimatorQNN (class in qiskit_machine_learning.neural_networks) evaluate() (BaseKernel method) (CrossEntropyLoss method) (FidelityQuantumKernel method) (FidelityStatevectorKernel method) (KernelLoss method) (L1Loss method) (L2Loss method) (Loss method) (SVCLoss method) (TrainableFidelityQuantumKernel method) (TrainableFidelityStatevectorKernel method) (TrainableKernel method)

evaluate_duplicates (FidelityQuantumKernel attribute) (TrainableFidelityQuantumKernel attribute)

F

feature_dimension (RawFeatureVector attribute) feature_map (BaseKernel attribute) (FidelityQuantumKernel attribute) (FidelityStatevectorKernel attribute) (QNNCircuit attribute) (TrainableFidelityQuantumKernel attribute) (TrainableFidelityStatevectorKernel attribute) (TrainableKernel attribute) (VQC attribute) (VQR attribute) fidelity (FidelityQuantumKernel attribute) (TrainableFidelityQuantumKernel attribute) FidelityQuantumKernel (class in qiskit_machine_learning.kernels) FidelityStatevectorKernel (class in qiskit_machine_learning.kernels) fit() (NeuralNetworkClassifier method) (NeuralNetworkRegressor method) (PegasosQSVC method) (QSVC method) (QSVR method) (QuantumKernelTrainer method) (TrainableModel method) (VQC method) (VQR method)

fit_result (NeuralNetworkClassifier attribute) (NeuralNetworkRegressor attribute) (TrainableModel attribute) (VQC attribute) (VQR attribute) FITTED (PegasosQSVC attribute) forward() (EstimatorQNN method) (NeuralNetwork method) (SamplerQNN method) (TorchConnector method)

G

get_effective_dimension() (EffectiveDimension method) (LocalEffectiveDimension method) get_fisher_information() (EffectiveDimension method) (LocalEffectiveDimension method) get_metadata_routing() (QSVC method) (QSVR method) get_normalized_fisher() (EffectiveDimension method) (LocalEffectiveDimension method) get_params() (QSVC method) (QSVR method)

gradient (EstimatorQNN attribute) (SamplerQNN attribute) gradient() (BinaryObjectiveFunction method) (CrossEntropyLoss method) (L1Loss method) (L2Loss method) (Loss method) (MultiClassObjectiveFunction method) (ObjectiveFunction method) (OneHotObjectiveFunction method)

I

inference() (QBayesian method) initial_point (NeuralNetworkClassifier attribute) (NeuralNetworkRegressor attribute) (QuantumKernelTrainer attribute) (TrainableModel attribute) (VQC attribute) (VQR attribute) input_gradients (EstimatorQNN attribute) (NeuralNetwork attribute) (SamplerQNN attribute)

input_parameters (QNNCircuit attribute) input_params (EstimatorQNN attribute) (SamplerQNN attribute) input_samples (EffectiveDimension attribute) (LocalEffectiveDimension attribute) interpret (SamplerQNN attribute)

K

KernelLoss (class in qiskit_machine_learning.utils.loss_functions)

L

L1Loss (class in qiskit_machine_learning.utils.loss_functions) L2Loss (class in qiskit_machine_learning.utils.loss_functions) limit (QBayesian attribute) load() (NeuralNetworkClassifier class method) (NeuralNetworkRegressor class method) (PegasosQSVC class method) (QSVC class method) (QSVR class method) (SerializableModelMixin class method) (TrainableModel class method) (VQC class method) (VQR class method)

LocalEffectiveDimension (class in qiskit_machine_learning.neural_networks) Loss (class in qiskit_machine_learning.utils.loss_functions) loss (NeuralNetworkClassifier attribute) (NeuralNetworkRegressor attribute) (QuantumKernelTrainer attribute) (TrainableModel attribute) (VQC attribute) (VQR attribute)

M

module qiskit_machine_learning qiskit_machine_learning.algorithms qiskit_machine_learning.circuit.library qiskit_machine_learning.connectors qiskit_machine_learning.datasets qiskit_machine_learning.kernels qiskit_machine_learning.kernels.algorithms qiskit_machine_learning.neural_networks qiskit_machine_learning.utils qiskit_machine_learning.utils.loss_functions

MultiClassObjectiveFunction (class in qiskit_machine_learning.algorithms)

N

n_support_ (QSVC attribute) (QSVR attribute) name (QNNCircuit attribute) (RawFeatureVector attribute) neural_network (NeuralNetworkClassifier attribute) (NeuralNetworkRegressor attribute) (TorchConnector attribute) (TrainableModel attribute) (VQC attribute) (VQR attribute) NeuralNetwork (class in qiskit_machine_learning.neural_networks) NeuralNetworkClassifier (class in qiskit_machine_learning.algorithms) NeuralNetworkRegressor (class in qiskit_machine_learning.algorithms) num_classes (NeuralNetworkClassifier attribute) (VQC attribute) num_features (BaseKernel attribute) (FidelityQuantumKernel attribute) (FidelityStatevectorKernel attribute) (TrainableFidelityQuantumKernel attribute) (TrainableFidelityStatevectorKernel attribute) (TrainableKernel attribute)

num_input_parameters (QNNCircuit attribute) num_inputs (EstimatorQNN attribute) (NeuralNetwork attribute) (SamplerQNN attribute) num_qubits (QNNCircuit attribute) (RawFeatureVector attribute) (VQC attribute) (VQR attribute) num_steps (PegasosQSVC attribute) num_training_parameters (TrainableFidelityQuantumKernel attribute) (TrainableFidelityStatevectorKernel attribute) (TrainableKernel attribute) num_weight_parameters (QNNCircuit attribute) num_weights (EstimatorQNN attribute) (NeuralNetwork attribute) (SamplerQNN attribute)

O

objective() (BinaryObjectiveFunction method) (MultiClassObjectiveFunction method) (ObjectiveFunction method) (OneHotObjectiveFunction method) ObjectiveFunction (class in qiskit_machine_learning.algorithms) observables (EstimatorQNN attribute) OneHotObjectiveFunction (class in qiskit_machine_learning.algorithms) optimal_circuit (QuantumKernelTrainerResult attribute) optimal_parameters (QuantumKernelTrainerResult attribute) optimal_point (QuantumKernelTrainerResult attribute) optimal_value (QuantumKernelTrainerResult attribute)

optimizer (NeuralNetworkClassifier attribute) (NeuralNetworkRegressor attribute) (QuantumKernelTrainer attribute) (TrainableModel attribute) (VQC attribute) (VQR attribute) optimizer_evals (QuantumKernelTrainerResult attribute) optimizer_result (QuantumKernelTrainerResult attribute) optimizer_time (QuantumKernelTrainerResult attribute) output_shape (EstimatorQNN attribute) (NeuralNetwork attribute) (SamplerQNN attribute)

P

parameter_values (TrainableFidelityQuantumKernel attribute) (TrainableFidelityStatevectorKernel attribute) (TrainableKernel attribute) PegasosQSVC (class in qiskit_machine_learning.algorithms) precomputed (PegasosQSVC attribute) predict() (NeuralNetworkClassifier method) (NeuralNetworkRegressor method) (PegasosQSVC method) (QSVC method) (QSVR method) (TrainableModel method) (VQC method) (VQR method)

predict_log_proba() (QSVC method) predict_proba() (QSVC method) probA_ (QSVC attribute) probB_ (QSVC attribute)

Q

QBayesian (class in qiskit_machine_learning.algorithms) qiskit_machine_learning module qiskit_machine_learning.algorithms module qiskit_machine_learning.circuit.library module qiskit_machine_learning.connectors module qiskit_machine_learning.datasets module qiskit_machine_learning.kernels module qiskit_machine_learning.kernels.algorithms module qiskit_machine_learning.neural_networks module

qiskit_machine_learning.utils module qiskit_machine_learning.utils.loss_functions module QiskitMachineLearningError QNNCircuit (class in qiskit_machine_learning.circuit.library) QSVC (class in qiskit_machine_learning.algorithms) QSVR (class in qiskit_machine_learning.algorithms) quantum_kernel (PegasosQSVC attribute) (QSVC attribute) (QSVR attribute) (QuantumKernelTrainer attribute) (QuantumKernelTrainerResult attribute) QuantumKernelTrainer (class in qiskit_machine_learning.kernels.algorithms) QuantumKernelTrainerResult (class in qiskit_machine_learning.kernels.algorithms)

R

RawFeatureVector (class in qiskit_machine_learning.circuit.library) rejection_sampling() (QBayesian method)

run_monte_carlo() (EffectiveDimension method) (LocalEffectiveDimension method)

S

sampler (QBayesian attribute) (SamplerQNN attribute) SamplerQNN (class in qiskit_machine_learning.neural_networks) samples (QBayesian attribute) save() (NeuralNetworkClassifier method) (NeuralNetworkRegressor method) (PegasosQSVC method) (QSVC method) (QSVR method) (SerializableModelMixin method) (TrainableModel method) (VQC method) (VQR method) score() (NeuralNetworkClassifier method) (NeuralNetworkRegressor method) (PegasosQSVC method) (QSVC method) (QSVR method) (TrainableModel method) (VQC method) (VQR method)

SerializableModelMixin (class in qiskit_machine_learning.algorithms) set_fit_request() (QSVC method) (QSVR method) set_interpret() (SamplerQNN method) set_params() (QSVC method) (QSVR method) set_score_request() (QSVC method) (QSVR method) sparse (EstimatorQNN attribute) (NeuralNetwork attribute) (SamplerQNN attribute) (TorchConnector attribute) SVCLoss (class in qiskit_machine_learning.utils.loss_functions)

T

threshold (QBayesian attribute) TorchConnector (class in qiskit_machine_learning.connectors) TrainableFidelityQuantumKernel (class in qiskit_machine_learning.kernels) TrainableFidelityStatevectorKernel (class in qiskit_machine_learning.kernels)

TrainableKernel (class in qiskit_machine_learning.kernels) TrainableModel (class in qiskit_machine_learning.algorithms) training_parameters (TrainableFidelityQuantumKernel attribute) (TrainableFidelityStatevectorKernel attribute) (TrainableKernel attribute)

U

UNFITTED (PegasosQSVC attribute) unit (QNNCircuit attribute) (RawFeatureVector attribute)

unused_param (QSVC attribute) (QSVR attribute)

V

VQC (class in qiskit_machine_learning.algorithms)

VQR (class in qiskit_machine_learning.algorithms)

W

warm_start (NeuralNetworkClassifier attribute) (NeuralNetworkRegressor attribute) (TrainableModel attribute) (VQC attribute) (VQR attribute) weight (TorchConnector attribute) weight_parameters (QNNCircuit attribute) weight_params (EstimatorQNN attribute) (SamplerQNN attribute)

weight_samples (EffectiveDimension attribute) (LocalEffectiveDimension attribute) weights (NeuralNetworkClassifier attribute) (NeuralNetworkRegressor attribute) (TrainableModel attribute) (VQC attribute) (VQR attribute) with_traceback() (QiskitMachineLearningError method)