Index

A

ad_hoc_data() (in module qiskit_machine_learning.datasets) ADAM (class in qiskit_machine_learning.optimizers) alpha (UMDA attribute) ansatz (QNNCircuit attribute) (VQC attribute) (VQR attribute)

AQGD (class in qiskit_machine_learning.optimizers) ask() (GradientDescent method) (SteppableOptimizer method) AskData (class in qiskit_machine_learning.optimizers) assign_training_parameters() (TrainableFidelityQuantumKernel method) (TrainableFidelityStatevectorKernel method) (TrainableKernel method)

B

backward() (EstimatorQNN method) (NeuralNetwork method) (SamplerQNN method) BaseEstimatorGradient (class in qiskit_machine_learning.gradients) BaseKernel (class in qiskit_machine_learning.kernels) BaseSamplerGradient (class in qiskit_machine_learning.gradients) BaseStateFidelity (class in qiskit_machine_learning.state_fidelities) BinaryObjectiveFunction (class in qiskit_machine_learning.algorithms) bounds_support_level (ADAM attribute) (AQGD attribute) (CG attribute) (COBYLA attribute) (CRS attribute) (DIRECT_L attribute) (DIRECT_L_RAND attribute) (ESCH attribute) (GradientDescent attribute) (GSLS attribute) (ISRES attribute) (L_BFGS_B attribute) (NELDER_MEAD attribute) (NFT attribute) (Optimizer attribute) (P_BFGS attribute) (POWELL attribute) (QNSPSA attribute) (SciPyOptimizer attribute) (SLSQP attribute) (SPSA attribute) (SteppableOptimizer attribute) (TNC attribute) (UMDA attribute)

C

calibrate() (QNSPSA static method) (SPSA static method) callback (NeuralNetworkClassifier attribute) (NeuralNetworkRegressor attribute) (TrainableModel attribute) (VQC attribute) (VQR attribute) CG (class in qiskit_machine_learning.optimizers) circuit (EstimatorQNN attribute) (SamplerQNN attribute) (VQC attribute) clear_cache() (FidelityStatevectorKernel method) (TrainableFidelityStatevectorKernel method) close() (LearningRate method) COBYLA (class in qiskit_machine_learning.optimizers) coef_ (QSVC attribute) (QSVR attribute)

combine() (OptimizerResult method) (QuantumKernelTrainerResult method) ComputeUncompute (class in qiskit_machine_learning.state_fidelities) continue_condition() (GradientDescent method) (SteppableOptimizer method) converged (QBayesian attribute) create_fidelity_circuit() (BaseStateFidelity method) (ComputeUncompute method) create_result() (GradientDescent method) (SteppableOptimizer method) cregs (QNNCircuit attribute) (RawFeatureVector attribute) CrossEntropyLoss (class in qiskit_machine_learning.utils.loss_functions) CRS (class in qiskit_machine_learning.optimizers) current (LearningRate property)

D

decision_function() (PegasosQSVC method) (QSVC method) default_precision (EstimatorQNN attribute) derivative_type (BaseEstimatorGradient attribute) (LinCombEstimatorGradient attribute) (ParamShiftEstimatorGradient attribute) (SPSAEstimatorGradient attribute)

DIRECT_L (class in qiskit_machine_learning.optimizers) DIRECT_L_RAND (class in qiskit_machine_learning.optimizers) duration (QNNCircuit attribute) (RawFeatureVector attribute)

E

EffectiveDimension (class in qiskit_machine_learning.neural_networks) ELITE_FACTOR (UMDA attribute) enforce_psd (BaseKernel attribute) (FidelityQuantumKernel attribute) (FidelityStatevectorKernel attribute) (TrainableFidelityQuantumKernel attribute) (TrainableFidelityStatevectorKernel attribute) (TrainableKernel attribute) ESCH (class in qiskit_machine_learning.optimizers) estimate_stddev() (QNSPSA static method) (SPSA static method) estimator (EstimatorQNN attribute) EstimatorGradientResult (class in qiskit_machine_learning.gradients) EstimatorQNN (class in qiskit_machine_learning.neural_networks) eval_fun (TellData attribute) eval_jac (TellData attribute)

evaluate() (BaseKernel method) (CrossEntropyLoss method) (FidelityQuantumKernel method) (FidelityStatevectorKernel method) (GradientDescent method) (KernelLoss method) (L1Loss method) (L2Loss method) (Loss method) (SteppableOptimizer 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) fidelities (StateFidelityResult 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) fun (GradientDescentState attribute) (OptimizerResult attribute) (OptimizerState attribute)

G

get_effective_dimension() (EffectiveDimension method) (LocalEffectiveDimension method) get_fidelity() (QNSPSA static method) get_fisher_information() (EffectiveDimension method) (LocalEffectiveDimension method) get_metadata_routing() (QSVC method) (QSVR method) get_nlopt_optimizer() (CRS method) (DIRECT_L method) (DIRECT_L_RAND method) (ESCH method) (ISRES method) get_normalized_fisher() (EffectiveDimension method) (LocalEffectiveDimension method) get_params() (QSVC method) (QSVR method) get_support_level() (ADAM method) (AQGD method) (CG method) (COBYLA method) (CRS method) (DIRECT_L method) (DIRECT_L_RAND method) (ESCH method) (GradientDescent method) (GSLS method) (ISRES method) (L_BFGS_B method) (NELDER_MEAD method) (NFT method) (Optimizer method) (P_BFGS method) (POWELL method) (QNSPSA method) (SciPyOptimizer method) (SLSQP method) (SPSA method) (SteppableOptimizer method) (TNC method) (UMDA method) gradient (EstimatorQNN attribute) (SamplerQNN attribute) gradient() (BinaryObjectiveFunction method) (CrossEntropyLoss method) (L1Loss method) (L2Loss method) (Loss method) (MultiClassObjectiveFunction method) (ObjectiveFunction method) (OneHotObjectiveFunction method) gradient_approximation() (GSLS method) gradient_num_diff() (ADAM static method) (AQGD static method) (CG static method) (COBYLA static method) (CRS static method) (DIRECT_L static method) (DIRECT_L_RAND static method) (ESCH static method) (GradientDescent static method) (GSLS static method) (ISRES static method) (L_BFGS_B static method) (NELDER_MEAD static method) (NFT static method) (Optimizer static method) (P_BFGS static method) (POWELL static method) (QNSPSA static method) (SciPyOptimizer static method) (SLSQP static method) (SPSA static method) (SteppableOptimizer static method) (TNC static method) (UMDA static method)

gradient_support_level (ADAM attribute) (AQGD attribute) (CG attribute) (COBYLA attribute) (CRS attribute) (DIRECT_L attribute) (DIRECT_L_RAND attribute) (ESCH attribute) (GradientDescent attribute) (GSLS attribute) (ISRES attribute) (L_BFGS_B attribute) (NELDER_MEAD attribute) (NFT attribute) (Optimizer attribute) (P_BFGS attribute) (POWELL attribute) (QNSPSA attribute) (SciPyOptimizer attribute) (SLSQP attribute) (SPSA attribute) (SteppableOptimizer attribute) (TNC attribute) (UMDA attribute) GradientDescent (class in qiskit_machine_learning.optimizers) GradientDescentState (class in qiskit_machine_learning.optimizers) gradients (EstimatorGradientResult attribute) (SamplerGradientResult attribute) GSLS (class in qiskit_machine_learning.optimizers)

I

inference() (QBayesian method) initial_point (NeuralNetworkClassifier attribute) (NeuralNetworkRegressor attribute) (QuantumKernelTrainer attribute) (TrainableModel attribute) (VQC attribute) (VQR attribute) initial_point_support_level (ADAM attribute) (AQGD attribute) (CG attribute) (COBYLA attribute) (CRS attribute) (DIRECT_L attribute) (DIRECT_L_RAND attribute) (ESCH attribute) (GradientDescent attribute) (GSLS attribute) (ISRES attribute) (L_BFGS_B attribute) (NELDER_MEAD attribute) (NFT attribute) (Optimizer attribute) (P_BFGS attribute) (POWELL attribute) (QNSPSA attribute) (SciPyOptimizer attribute) (SLSQP attribute) (SPSA attribute) (SteppableOptimizer attribute) (TNC attribute) (UMDA 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) is_bounds_ignored (ADAM attribute) (AQGD attribute) (CG attribute) (COBYLA attribute) (CRS attribute) (DIRECT_L attribute) (DIRECT_L_RAND attribute) (ESCH attribute) (GradientDescent attribute) (GSLS attribute) (ISRES attribute) (L_BFGS_B attribute) (NELDER_MEAD attribute) (NFT attribute) (Optimizer attribute) (P_BFGS attribute) (POWELL attribute) (QNSPSA attribute) (SciPyOptimizer attribute) (SLSQP attribute) (SPSA attribute) (SteppableOptimizer attribute) (TNC attribute) (UMDA attribute) is_bounds_required (ADAM attribute) (AQGD attribute) (CG attribute) (COBYLA attribute) (CRS attribute) (DIRECT_L attribute) (DIRECT_L_RAND attribute) (ESCH attribute) (GradientDescent attribute) (GSLS attribute) (ISRES attribute) (L_BFGS_B attribute) (NELDER_MEAD attribute) (NFT attribute) (Optimizer attribute) (P_BFGS attribute) (POWELL attribute) (QNSPSA attribute) (SciPyOptimizer attribute) (SLSQP attribute) (SPSA attribute) (SteppableOptimizer attribute) (TNC attribute) (UMDA attribute) is_bounds_supported (ADAM attribute) (AQGD attribute) (CG attribute) (COBYLA attribute) (CRS attribute) (DIRECT_L attribute) (DIRECT_L_RAND attribute) (ESCH attribute) (GradientDescent attribute) (GSLS attribute) (ISRES attribute) (L_BFGS_B attribute) (NELDER_MEAD attribute) (NFT attribute) (Optimizer attribute) (P_BFGS attribute) (POWELL attribute) (QNSPSA attribute) (SciPyOptimizer attribute) (SLSQP attribute) (SPSA attribute) (SteppableOptimizer attribute) (TNC attribute) (UMDA attribute) is_gradient_ignored (ADAM attribute) (AQGD attribute) (CG attribute) (COBYLA attribute) (CRS attribute) (DIRECT_L attribute) (DIRECT_L_RAND attribute) (ESCH attribute) (GradientDescent attribute) (GSLS attribute) (ISRES attribute) (L_BFGS_B attribute) (NELDER_MEAD attribute) (NFT attribute) (Optimizer attribute) (P_BFGS attribute) (POWELL attribute) (QNSPSA attribute) (SciPyOptimizer attribute) (SLSQP attribute) (SPSA attribute) (SteppableOptimizer attribute) (TNC attribute) (UMDA attribute)

is_gradient_required (ADAM attribute) (AQGD attribute) (CG attribute) (COBYLA attribute) (CRS attribute) (DIRECT_L attribute) (DIRECT_L_RAND attribute) (ESCH attribute) (GradientDescent attribute) (GSLS attribute) (ISRES attribute) (L_BFGS_B attribute) (NELDER_MEAD attribute) (NFT attribute) (Optimizer attribute) (P_BFGS attribute) (POWELL attribute) (QNSPSA attribute) (SciPyOptimizer attribute) (SLSQP attribute) (SPSA attribute) (SteppableOptimizer attribute) (TNC attribute) (UMDA attribute) is_gradient_supported (ADAM attribute) (AQGD attribute) (CG attribute) (COBYLA attribute) (CRS attribute) (DIRECT_L attribute) (DIRECT_L_RAND attribute) (ESCH attribute) (GradientDescent attribute) (GSLS attribute) (ISRES attribute) (L_BFGS_B attribute) (NELDER_MEAD attribute) (NFT attribute) (Optimizer attribute) (P_BFGS attribute) (POWELL attribute) (QNSPSA attribute) (SciPyOptimizer attribute) (SLSQP attribute) (SPSA attribute) (SteppableOptimizer attribute) (TNC attribute) (UMDA attribute) is_initial_point_ignored (ADAM attribute) (AQGD attribute) (CG attribute) (COBYLA attribute) (CRS attribute) (DIRECT_L attribute) (DIRECT_L_RAND attribute) (ESCH attribute) (GradientDescent attribute) (GSLS attribute) (ISRES attribute) (L_BFGS_B attribute) (NELDER_MEAD attribute) (NFT attribute) (Optimizer attribute) (P_BFGS attribute) (POWELL attribute) (QNSPSA attribute) (SciPyOptimizer attribute) (SLSQP attribute) (SPSA attribute) (SteppableOptimizer attribute) (TNC attribute) (UMDA attribute) is_initial_point_required (ADAM attribute) (AQGD attribute) (CG attribute) (COBYLA attribute) (CRS attribute) (DIRECT_L attribute) (DIRECT_L_RAND attribute) (ESCH attribute) (GradientDescent attribute) (GSLS attribute) (ISRES attribute) (L_BFGS_B attribute) (NELDER_MEAD attribute) (NFT attribute) (Optimizer attribute) (P_BFGS attribute) (POWELL attribute) (QNSPSA attribute) (SciPyOptimizer attribute) (SLSQP attribute) (SPSA attribute) (SteppableOptimizer attribute) (TNC attribute) (UMDA attribute) is_initial_point_supported (ADAM attribute) (AQGD attribute) (CG attribute) (COBYLA attribute) (CRS attribute) (DIRECT_L attribute) (DIRECT_L_RAND attribute) (ESCH attribute) (GradientDescent attribute) (GSLS attribute) (ISRES attribute) (L_BFGS_B attribute) (NELDER_MEAD attribute) (NFT attribute) (Optimizer attribute) (P_BFGS attribute) (POWELL attribute) (QNSPSA attribute) (SciPyOptimizer attribute) (SLSQP attribute) (SPSA attribute) (SteppableOptimizer attribute) (TNC attribute) (UMDA attribute) ISRES (class in qiskit_machine_learning.optimizers)

J

jac (GradientDescentState attribute) (OptimizerResult attribute) (OptimizerState 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) L_BFGS_B (class in qiskit_machine_learning.optimizers) learning_rate (GradientDescentState attribute) LearningRate (class in qiskit_machine_learning.optimizers.optimizer_utils) limit (QBayesian attribute) LinCombEstimatorGradient (class in qiskit_machine_learning.gradients) LinCombSamplerGradient (class in qiskit_machine_learning.gradients) 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)

load_params() (ADAM 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) ls_optimize() (GSLS method)

M

maxiter (UMDA attribute) metadata (EstimatorGradientResult attribute) (SamplerGradientResult attribute) (StateFidelityResult attribute) minimize() (ADAM method) (AQGD method) (CG method) (COBYLA method) (CRS method) (DIRECT_L method) (DIRECT_L_RAND method) (ESCH method) (GradientDescent method) (GSLS method) (ISRES method) (L_BFGS_B method) (NELDER_MEAD method) (NFT method) (Optimizer method) (P_BFGS method) (POWELL method) (QNSPSA method) (SciPyOptimizer method) (SLSQP method) (SPSA method) (SteppableOptimizer method) (TNC method) (UMDA method)

Minimizer (class in qiskit_machine_learning.optimizers) module qiskit_machine_learning qiskit_machine_learning.algorithms qiskit_machine_learning.circuit.library qiskit_machine_learning.connectors qiskit_machine_learning.datasets qiskit_machine_learning.gradients qiskit_machine_learning.kernels qiskit_machine_learning.kernels.algorithms qiskit_machine_learning.neural_networks qiskit_machine_learning.optimizers qiskit_machine_learning.optimizers.optimizer_utils qiskit_machine_learning.state_fidelities 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) NELDER_MEAD (class in qiskit_machine_learning.optimizers) 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) nfev (GradientDescentState attribute) (OptimizerResult attribute) (OptimizerState attribute) NFT (class in qiskit_machine_learning.optimizers) nit (GradientDescentState attribute) (OptimizerResult attribute) (OptimizerState attribute) njev (GradientDescentState attribute) (OptimizerResult attribute) (OptimizerState attribute)

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 (class in qiskit_machine_learning.optimizers) 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) OptimizerResult (class in qiskit_machine_learning.optimizers) OptimizerState (class in qiskit_machine_learning.optimizers) options (BaseEstimatorGradient attribute) (BaseSamplerGradient attribute) (ComputeUncompute attribute) (EstimatorGradientResult attribute) (LinCombEstimatorGradient attribute) (LinCombSamplerGradient attribute) (ParamShiftEstimatorGradient attribute) (ParamShiftSamplerGradient attribute) (SamplerGradientResult attribute) (SPSAEstimatorGradient attribute) (SPSASamplerGradient attribute) (StateFidelityResult attribute) output_shape (EstimatorQNN attribute) (NeuralNetwork attribute) (SamplerQNN attribute)

P

P_BFGS (class in qiskit_machine_learning.optimizers) parameter_values (TrainableFidelityQuantumKernel attribute) (TrainableFidelityStatevectorKernel attribute) (TrainableKernel attribute) ParamShiftEstimatorGradient (class in qiskit_machine_learning.gradients) ParamShiftSamplerGradient (class in qiskit_machine_learning.gradients) PegasosQSVC (class in qiskit_machine_learning.algorithms) perturbation (GradientDescent attribute) POWELL (class in qiskit_machine_learning.optimizers) 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() (NeuralNetworkClassifier method) (PegasosQSVC method) (QSVC method) (VQC method) print_options() (ADAM method) (AQGD method) (CG method) (COBYLA method) (CRS method) (DIRECT_L method) (DIRECT_L_RAND method) (ESCH method) (GradientDescent method) (GSLS method) (ISRES method) (L_BFGS_B method) (NELDER_MEAD method) (NFT method) (Optimizer method) (P_BFGS method) (POWELL method) (QNSPSA method) (SciPyOptimizer method) (SLSQP method) (SPSA method) (SteppableOptimizer method) (TNC method) (UMDA 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.gradients module qiskit_machine_learning.kernels module qiskit_machine_learning.kernels.algorithms module qiskit_machine_learning.neural_networks module qiskit_machine_learning.optimizers module

qiskit_machine_learning.optimizers.optimizer_utils module qiskit_machine_learning.state_fidelities module qiskit_machine_learning.utils module qiskit_machine_learning.utils.loss_functions module QiskitMachineLearningError QNNCircuit (class in qiskit_machine_learning.circuit.library) QNSPSA (class in qiskit_machine_learning.optimizers) 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

raw_fidelities (StateFidelityResult attribute) RawFeatureVector (class in qiskit_machine_learning.circuit.library) rejection_sampling() (QBayesian method) run() (BaseEstimatorGradient method) (BaseSamplerGradient method) (BaseStateFidelity method) (ComputeUncompute method) (LinCombEstimatorGradient method) (LinCombSamplerGradient method) (ParamShiftEstimatorGradient method) (ParamShiftSamplerGradient method) (SPSAEstimatorGradient method) (SPSASamplerGradient method)

run_monte_carlo() (EffectiveDimension method) (LocalEffectiveDimension method)

S

sample_points() (GSLS method) sample_set() (GSLS method) sampler (QBayesian attribute) (SamplerQNN attribute) SamplerGradientResult (class in qiskit_machine_learning.gradients) 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) save_params() (ADAM method) SciPyOptimizer (class in qiskit_machine_learning.optimizers) score() (NeuralNetworkClassifier method) (NeuralNetworkRegressor method) (PegasosQSVC method) (QSVC method) (QSVR method) (TrainableModel method) (VQC method) (VQR method) send() (LearningRate method) SerializableModelMixin (class in qiskit_machine_learning.algorithms) set_fit_request() (QSVC method) (QSVR method) set_interpret() (SamplerQNN method) set_max_evals_grouped() (ADAM method) (AQGD method) (CG method) (COBYLA method) (CRS method) (DIRECT_L method) (DIRECT_L_RAND method) (ESCH method) (GradientDescent method) (GSLS method) (ISRES method) (L_BFGS_B method) (NELDER_MEAD method) (NFT method) (Optimizer method) (P_BFGS method) (POWELL method) (QNSPSA method) (SciPyOptimizer method) (SLSQP method) (SPSA method) (SteppableOptimizer method) (TNC method) (UMDA method) set_options() (ADAM method) (AQGD method) (CG method) (COBYLA method) (CRS method) (DIRECT_L method) (DIRECT_L_RAND method) (ESCH method) (GradientDescent method) (GSLS method) (ISRES method) (L_BFGS_B method) (NELDER_MEAD method) (NFT method) (Optimizer method) (P_BFGS method) (POWELL method) (QNSPSA method) (SciPyOptimizer method) (SLSQP method) (SPSA method) (SteppableOptimizer method) (TNC method) (UMDA method)

set_params() (QSVC method) (QSVR method) set_score_request() (QSVC method) (QSVR method) setting (ADAM attribute) (AQGD attribute) (CG attribute) (COBYLA attribute) (CRS attribute) (DIRECT_L attribute) (DIRECT_L_RAND attribute) (ESCH attribute) (GradientDescent attribute) (GSLS attribute) (ISRES attribute) (L_BFGS_B attribute) (NELDER_MEAD attribute) (NFT attribute) (Optimizer attribute) (P_BFGS attribute) (POWELL attribute) (QNSPSA attribute) (SciPyOptimizer attribute) (SLSQP attribute) (SPSA attribute) (SteppableOptimizer attribute) (TNC attribute) (UMDA attribute) settings (ADAM attribute) (AQGD attribute) (CG attribute) (COBYLA attribute) (CRS attribute) (DIRECT_L attribute) (DIRECT_L_RAND attribute) (ESCH attribute) (GradientDescent attribute) (GSLS attribute) (ISRES attribute) (L_BFGS_B attribute) (NELDER_MEAD attribute) (NFT attribute) (Optimizer attribute) (P_BFGS attribute) (POWELL attribute) (QNSPSA attribute) (SciPyOptimizer attribute) (SLSQP attribute) (SPSA attribute) (SteppableOptimizer attribute) (TNC attribute) (UMDA attribute) size_gen (UMDA attribute) SLSQP (class in qiskit_machine_learning.optimizers) sparse (EstimatorQNN attribute) (NeuralNetwork attribute) (SamplerQNN attribute) (TorchConnector attribute) SPSA (class in qiskit_machine_learning.optimizers) SPSAEstimatorGradient (class in qiskit_machine_learning.gradients) SPSASamplerGradient (class in qiskit_machine_learning.gradients) start() (GradientDescent method) (SteppableOptimizer method) state (GradientDescent attribute) (SteppableOptimizer attribute) StateFidelityResult (class in qiskit_machine_learning.state_fidelities) STD_BOUND (UMDA attribute) step() (GradientDescent method) (SteppableOptimizer method) SteppableOptimizer (class in qiskit_machine_learning.optimizers) stepsize (GradientDescentState attribute) SUPPORTED_GATES (LinCombEstimatorGradient attribute) (LinCombSamplerGradient attribute) (ParamShiftEstimatorGradient attribute) (ParamShiftSamplerGradient attribute) SVCLoss (class in qiskit_machine_learning.utils.loss_functions)

T

tell() (GradientDescent method) (SteppableOptimizer method) TellData (class in qiskit_machine_learning.optimizers) threshold (QBayesian attribute) throw() (LearningRate method) TNC (class in qiskit_machine_learning.optimizers) tol (GradientDescent 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

UMDA (class in qiskit_machine_learning.optimizers) UNFITTED (PegasosQSVC attribute) unit (QNNCircuit attribute) (RawFeatureVector attribute) unused_param (QSVC attribute) (QSVR attribute) update_default_options() (BaseEstimatorGradient method) (BaseSamplerGradient method) (ComputeUncompute method) (LinCombEstimatorGradient method) (LinCombSamplerGradient method) (ParamShiftEstimatorGradient method) (ParamShiftSamplerGradient method) (SPSAEstimatorGradient method) (SPSASamplerGradient method)

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) wrap_function() (ADAM static method) (AQGD static method) (CG static method) (COBYLA static method) (CRS static method) (DIRECT_L static method) (DIRECT_L_RAND static method) (ESCH static method) (GradientDescent static method) (GSLS static method) (ISRES static method) (L_BFGS_B static method) (NELDER_MEAD static method) (NFT static method) (Optimizer static method) (P_BFGS static method) (POWELL static method) (QNSPSA static method) (SciPyOptimizer static method) (SLSQP static method) (SPSA static method) (SteppableOptimizer static method) (TNC static method) (UMDA static method)

X

x (GradientDescentState attribute) (OptimizerResult attribute) (OptimizerState attribute)

x_fun (AskData attribute) x_jac (AskData attribute)