Index A | B | C | D | E | F | G | H | I | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z A AmplitudeEmbedding (class in pyqit.core.embeddings) AngleEmbedding (class in pyqit.core.embeddings) as_dict() (pyqit.core.TrainingHistory method) B BaseAnsatz (class in pyqit.ansatzes) BaseCallback (class in pyqit.core.callbacks) BaseEmbedding (class in pyqit.core.embeddings) BaseLoss (class in pyqit.core) BaseModel (class in pyqit.models) BaseQuantumModel (class in pyqit.models) BaseVQC (class in pyqit.models.layers) BasicEntanglerAnsatz (class in pyqit.ansatzes) best_epoch (pyqit.core.callbacks.ModelCheckpoint attribute) (pyqit.core.TrainingHistory attribute) best_metric (pyqit.core.TrainingHistory attribute) best_score (pyqit.core.callbacks.EarlyStopping attribute) (pyqit.core.callbacks.ModelCheckpoint attribute) (pyqit.core.TrainingHistory attribute) BPResult (class in pyqit.utils.diagnostic) build_circuit() (pyqit.ansatzes.BaseAnsatz method) (pyqit.ansatzes.BasicEntanglerAnsatz method) (pyqit.ansatzes.CNOTLadderAnsatz method) (pyqit.ansatzes.EfficientSU2Ansatz method) (pyqit.ansatzes.RealAmplitudesAnsatz method) (pyqit.ansatzes.SELAnsatz method) (pyqit.ansatzes.SimplifiedTwoDesignAnsatz method) C check_barren_plateau() (in module pyqit.utils.diagnostic) class_labels (pyqit.DataModule property) classical_variance (pyqit.utils.diagnostic.BPResult attribute) ClassifierMixin (class in pyqit.models) clone() (pyqit.core.QuantumPipeline method) clone_empty() (pyqit.DataModule method) CNOTLadderAnsatz (class in pyqit.ansatzes) CrossEntropyLoss (class in pyqit.core) D DataModule (class in pyqit) datamodule (pyqit.core.callbacks.LoopState attribute) DataReuploadingClassifier (class in pyqit.models) DenseClassifier (class in pyqit.models.layers) DenseLayer (class in pyqit.models.layers) diff_methods() (pyqit.models.BaseQuantumModel method) (pyqit.models.DataReuploadingClassifier method) (pyqit.models.DressedQuantumClassifier method) (pyqit.models.layers.BaseVQC method) (pyqit.models.layers.QuantumLayer method) (pyqit.models.VQCClassifier method) (pyqit.models.VQCRegressor method) DressedQuantumClassifier (class in pyqit.models) E EarlyStopping (class in pyqit.core.callbacks) EfficientSU2Ansatz (class in pyqit.ansatzes) epoch (pyqit.core.callbacks.LoopState attribute) epoch_times (pyqit.core.TrainingHistory attribute) execute_qnode() (pyqit.models.BaseModel method) (pyqit.models.BaseQuantumModel method) (pyqit.models.DataReuploadingClassifier method) (pyqit.models.DressedQuantumClassifier method) (pyqit.models.layers.BaseVQC method) (pyqit.models.layers.DenseClassifier method) (pyqit.models.layers.DenseLayer method) (pyqit.models.layers.QuantumLayer method) (pyqit.models.VQCClassifier method) (pyqit.models.VQCRegressor method) expected_variance (pyqit.utils.diagnostic.BPResult attribute) F feature_dim (pyqit.DataModule property) fit() (pyqit.core.Trainer method) for_prediction() (pyqit.DataModule method) forward() (pyqit.core.embeddings.AmplitudeEmbedding method) (pyqit.core.embeddings.AngleEmbedding method) (pyqit.core.embeddings.BaseEmbedding method) (pyqit.core.embeddings.HadamardAngleEmbedding method) (pyqit.core.embeddings.IQPEmbedding method) (pyqit.core.embeddings.ZZFeatureMap method) (pyqit.core.QuantumPipeline method) (pyqit.models.BaseModel method) (pyqit.models.BaseQuantumModel method) (pyqit.models.DataReuploadingClassifier method) (pyqit.models.DressedQuantumClassifier method) (pyqit.models.layers.BaseVQC method) (pyqit.models.layers.DenseClassifier method) (pyqit.models.layers.DenseLayer method) (pyqit.models.layers.QuantumLayer method) (pyqit.models.VQCClassifier method) (pyqit.models.VQCRegressor method) from_csv() (pyqit.DataModule class method) from_dataframe() (pyqit.DataModule class method) from_numpy() (pyqit.DataModule class method) from_sklearn() (pyqit.DataModule class method) G get_backend() (in module pyqit) get_circuit_func() (pyqit.ansatzes.BaseAnsatz method) (pyqit.ansatzes.BasicEntanglerAnsatz method) (pyqit.ansatzes.CNOTLadderAnsatz method) (pyqit.ansatzes.EfficientSU2Ansatz method) (pyqit.ansatzes.RealAmplitudesAnsatz method) (pyqit.ansatzes.SELAnsatz method) (pyqit.ansatzes.SimplifiedTwoDesignAnsatz method) get_interface() (pyqit.models.BaseQuantumModel method) (pyqit.models.DataReuploadingClassifier method) (pyqit.models.DressedQuantumClassifier method) (pyqit.models.layers.BaseVQC method) (pyqit.models.layers.QuantumLayer method) (pyqit.models.VQCClassifier method) (pyqit.models.VQCRegressor method) get_loss_fn() (in module pyqit.core) get_params() (pyqit.core.QuantumPipeline method) get_test_params() (pyqit.ansatzes.BasicEntanglerAnsatz class method) (pyqit.ansatzes.CNOTLadderAnsatz class method) (pyqit.ansatzes.EfficientSU2Ansatz class method) (pyqit.ansatzes.RealAmplitudesAnsatz class method) (pyqit.ansatzes.SELAnsatz class method) (pyqit.ansatzes.SimplifiedTwoDesignAnsatz class method) (pyqit.core.BaseLoss class method) (pyqit.core.callbacks.BaseCallback class method) (pyqit.core.callbacks.EarlyStopping class method) (pyqit.core.callbacks.HistoryCallback class method) (pyqit.core.callbacks.ModelCheckpoint class method) (pyqit.core.CrossEntropyLoss class method) (pyqit.core.embeddings.AmplitudeEmbedding class method) (pyqit.core.embeddings.AngleEmbedding class method) (pyqit.core.embeddings.HadamardAngleEmbedding class method) (pyqit.core.embeddings.IQPEmbedding class method) (pyqit.core.embeddings.ZZFeatureMap class method) (pyqit.core.HingeLoss class method) (pyqit.core.MSELoss class method) (pyqit.core.Trainer class method) (pyqit.models.DataReuploadingClassifier class method) (pyqit.models.DressedQuantumClassifier class method) (pyqit.models.layers.DenseClassifier class method) (pyqit.models.layers.DenseLayer class method) (pyqit.models.layers.QuantumLayer class method) (pyqit.models.VQCClassifier class method) (pyqit.models.VQCRegressor class method) get_weight_shapes() (pyqit.ansatzes.BaseAnsatz method) (pyqit.ansatzes.BasicEntanglerAnsatz method) (pyqit.ansatzes.CNOTLadderAnsatz method) (pyqit.ansatzes.EfficientSU2Ansatz method) (pyqit.ansatzes.RealAmplitudesAnsatz method) (pyqit.ansatzes.SELAnsatz method) (pyqit.ansatzes.SimplifiedTwoDesignAnsatz method) H HadamardAngleEmbedding (class in pyqit.core.embeddings) HingeLoss (class in pyqit.core) history (pyqit.core.callbacks.HistoryCallback property) (pyqit.core.callbacks.LoopState attribute) HistoryCallback (class in pyqit.core.callbacks) I init_weights() (pyqit.models.BaseQuantumModel method) (pyqit.models.DataReuploadingClassifier method) (pyqit.models.DressedQuantumClassifier method) (pyqit.models.layers.BaseVQC method) (pyqit.models.layers.QuantumLayer method) (pyqit.models.VQCClassifier method) (pyqit.models.VQCRegressor method) IQPEmbedding (class in pyqit.core.embeddings) is_barren (pyqit.utils.diagnostic.BPResult attribute) is_composite() (pyqit.core.QuantumPipeline method) is_fitted() (pyqit.models.BaseModel method) (pyqit.models.BaseQuantumModel method) (pyqit.models.DataReuploadingClassifier method) (pyqit.models.DressedQuantumClassifier method) (pyqit.models.layers.BaseVQC method) (pyqit.models.layers.DenseClassifier method) (pyqit.models.layers.DenseLayer method) (pyqit.models.layers.QuantumLayer method) (pyqit.models.VQCClassifier method) (pyqit.models.VQCRegressor method) L layer_ratios (pyqit.utils.diagnostic.BPResult attribute) layer_variances (pyqit.utils.diagnostic.BPResult attribute) load() (pyqit.DataModule class method) LoopState (class in pyqit.core.callbacks) M max_epochs (pyqit.core.callbacks.LoopState attribute) measure_expval_x() (in module pyqit.core) measure_expval_z() (in module pyqit.core) measure_parity_z() (in module pyqit.core) measure_probs() (in module pyqit.core) metrics (pyqit.core.callbacks.LoopState attribute) model (pyqit.core.callbacks.LoopState attribute) ModelCheckpoint (class in pyqit.core.callbacks) MSELoss (class in pyqit.core) N n_classes (pyqit.DataModule property) n_dead_parameters (pyqit.utils.diagnostic.BPResult attribute) n_executions (pyqit.utils.diagnostic.BPResult attribute) n_features (pyqit.DataModule property) n_parameters (pyqit.utils.diagnostic.BPResult attribute) n_qubits (pyqit.utils.diagnostic.BPResult attribute) n_samples (pyqit.DataModule property) (pyqit.utils.diagnostic.BPResult attribute) named_stages (pyqit.core.QuantumPipeline property) normalizer (pyqit.DataModule property) O on_epoch_end() (pyqit.core.callbacks.BaseCallback method) (pyqit.core.callbacks.EarlyStopping method) (pyqit.core.callbacks.HistoryCallback method) (pyqit.core.callbacks.ModelCheckpoint method) on_fit_end() (pyqit.core.callbacks.BaseCallback method) (pyqit.core.callbacks.EarlyStopping method) (pyqit.core.callbacks.HistoryCallback method) (pyqit.core.callbacks.ModelCheckpoint method) on_fit_start() (pyqit.core.callbacks.BaseCallback method) (pyqit.core.callbacks.EarlyStopping method) (pyqit.core.callbacks.HistoryCallback method) (pyqit.core.callbacks.ModelCheckpoint method) optimizer (pyqit.core.callbacks.LoopState attribute) optimizer_state (pyqit.core.callbacks.LoopState attribute) overall_variance (pyqit.utils.diagnostic.BPResult attribute) P periodic_paths (pyqit.core.callbacks.ModelCheckpoint attribute) PipelineStage (class in pyqit.core) predict() (pyqit.core.Trainer method) predict_step() (pyqit.core.QuantumPipeline method) (pyqit.models.ClassifierMixin method) (pyqit.models.DataReuploadingClassifier method) (pyqit.models.DressedQuantumClassifier method) (pyqit.models.layers.DenseClassifier method) (pyqit.models.RegressorMixin method) (pyqit.models.VQCClassifier method) (pyqit.models.VQCRegressor method) Q quantum_variance (pyqit.utils.diagnostic.BPResult attribute) QuantumLayer (class in pyqit.models.layers) QuantumPipeline (class in pyqit.core) R RealAmplitudesAnsatz (class in pyqit.ansatzes) reconfigure() (pyqit.DataModule method) record() (pyqit.core.TrainingHistory method) register_dense() (pyqit.models.BaseModel method) (pyqit.models.BaseQuantumModel method) (pyqit.models.DataReuploadingClassifier method) (pyqit.models.DressedQuantumClassifier method) (pyqit.models.layers.BaseVQC method) (pyqit.models.layers.DenseClassifier method) (pyqit.models.layers.DenseLayer method) (pyqit.models.layers.QuantumLayer method) (pyqit.models.VQCClassifier method) (pyqit.models.VQCRegressor method) register_qnode() (pyqit.models.BaseQuantumModel method) (pyqit.models.DataReuploadingClassifier method) (pyqit.models.DressedQuantumClassifier method) (pyqit.models.layers.BaseVQC method) (pyqit.models.layers.QuantumLayer method) (pyqit.models.VQCClassifier method) (pyqit.models.VQCRegressor method) RegressorMixin (class in pyqit.models) reporter (pyqit.core.callbacks.LoopState attribute) S save() (pyqit.DataModule method) SELAnsatz (class in pyqit.ansatzes) set_backend() (in module pyqit) set_params() (pyqit.core.QuantumPipeline method) set_seed() (in module pyqit) setup() (pyqit.DataModule method) SimplifiedTwoDesignAnsatz (class in pyqit.ansatzes) splits (pyqit.DataModule property) stop (pyqit.core.callbacks.LoopState attribute) stopped_epoch (pyqit.core.callbacks.EarlyStopping attribute) stopping_reason (pyqit.core.callbacks.EarlyStopping attribute) T test() (pyqit.core.Trainer method) test_loader() (pyqit.DataModule method) to_lightning() (pyqit.DataModule method) train_loader() (pyqit.DataModule method) Trainer (class in pyqit.core) TrainingHistory (class in pyqit.core) U update_weights() (pyqit.core.QuantumPipeline method) (pyqit.models.BaseModel method) (pyqit.models.BaseQuantumModel method) (pyqit.models.DataReuploadingClassifier method) (pyqit.models.DressedQuantumClassifier method) (pyqit.models.layers.BaseVQC method) (pyqit.models.layers.DenseClassifier method) (pyqit.models.layers.DenseLayer method) (pyqit.models.layers.QuantumLayer method) (pyqit.models.VQCClassifier method) (pyqit.models.VQCRegressor method) V val_loader() (pyqit.DataModule method) validate() (pyqit.core.Trainer method) VQCClassifier (class in pyqit.models) VQCRegressor (class in pyqit.models) W weight_groups() (pyqit.core.QuantumPipeline method) (pyqit.models.BaseModel method) (pyqit.models.BaseQuantumModel method) (pyqit.models.DataReuploadingClassifier method) (pyqit.models.DressedQuantumClassifier method) (pyqit.models.layers.BaseVQC method) (pyqit.models.layers.DenseClassifier method) (pyqit.models.layers.DenseLayer method) (pyqit.models.layers.QuantumLayer method) (pyqit.models.VQCClassifier method) (pyqit.models.VQCRegressor method) weights (pyqit.core.QuantumPipeline property) (pyqit.models.BaseModel property) (pyqit.models.BaseQuantumModel property) (pyqit.models.DataReuploadingClassifier property) (pyqit.models.DressedQuantumClassifier property) (pyqit.models.layers.BaseVQC property) (pyqit.models.layers.DenseClassifier property) (pyqit.models.layers.DenseLayer property) (pyqit.models.layers.QuantumLayer property) (pyqit.models.VQCClassifier property) (pyqit.models.VQCRegressor property) X X_test (pyqit.DataModule property) X_train (pyqit.DataModule property) X_val (pyqit.DataModule property) Y y_test (pyqit.DataModule property) y_train (pyqit.DataModule property) y_val (pyqit.DataModule property) Z ZZFeatureMap (class in pyqit.core.embeddings)
