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Index

_

__init__() (qxmt.configs.ExperimentConfig method) (qxmt.datasets.file.FileDataLoader method) (qxmt.datasets.file.loader.FileDataLoader method) (qxmt.datasets.generate.GeneratedDataLoader method) (qxmt.datasets.generate.loader.GeneratedDataLoader method) (qxmt.datasets.openml.loader.OpenMLDataLoader method) (qxmt.datasets.openml.OpenMLDataLoader method) (qxmt.evaluation.metrics.Accuracy method) (qxmt.evaluation.metrics.base.BaseMetric method) (qxmt.evaluation.metrics.BaseMetric method) (qxmt.evaluation.metrics.defaults_classification.Accuracy method) (qxmt.evaluation.metrics.defaults_classification.F1Score method) (qxmt.evaluation.metrics.defaults_classification.Precision method) (qxmt.evaluation.metrics.defaults_classification.Recall method) (qxmt.evaluation.metrics.defaults_regression.MeanAbsoluteError method) (qxmt.evaluation.metrics.defaults_regression.R2Score method) (qxmt.evaluation.metrics.defaults_regression.RootMeanSquaredError method) (qxmt.evaluation.metrics.F1Score method) (qxmt.evaluation.metrics.MeanAbsoluteError method) (qxmt.evaluation.metrics.Precision method) (qxmt.evaluation.metrics.R2Score method) (qxmt.evaluation.metrics.Recall method) (qxmt.evaluation.metrics.RootMeanSquaredError method) (qxmt.Experiment method) (qxmt.ExperimentConfig method) (qxmt.feature_maps.pennylane.HRotationFeatureMap method) (qxmt.feature_maps.pennylane.ising.XXFeatureMap method) (qxmt.feature_maps.pennylane.ising.YYFeatureMap method) (qxmt.feature_maps.pennylane.ising.ZZFeatureMap method) (qxmt.feature_maps.pennylane.npqc.NPQCFeatureMap method) (qxmt.feature_maps.pennylane.NPQCFeatureMap method) (qxmt.feature_maps.pennylane.rotation.HRotationFeatureMap method) (qxmt.feature_maps.pennylane.rotation.RotationFeatureMap method) (qxmt.feature_maps.pennylane.RotationFeatureMap method) (qxmt.feature_maps.pennylane.XXFeatureMap method) (qxmt.feature_maps.pennylane.YYFeatureMap method) (qxmt.feature_maps.pennylane.yzcx.YZCXFeatureMap method) (qxmt.feature_maps.pennylane.YZCXFeatureMap method) (qxmt.feature_maps.pennylane.ZZFeatureMap method) (qxmt.kernels.pennylane.fidelity_kernel.FidelityKernel method) (qxmt.kernels.pennylane.FidelityKernel method) (qxmt.kernels.pennylane.projected_kernel.ProjectedKernel method) (qxmt.kernels.pennylane.ProjectedKernel method) (qxmt.models.hyperparameter_search.HyperParameterSearch method)

A

Accuracy (class in qxmt.evaluation.metrics) (class in qxmt.evaluation.metrics.defaults_classification)

AmazonBraketSettingError, [1]

B

backend_name (qxmt.configs.DeviceConfig attribute) (qxmt.DeviceConfig attribute)

BaseMetric (class in qxmt.evaluation.metrics) (class in qxmt.evaluation.metrics.base)

C

check_ratio() (qxmt.configs.SplitConfig method) (qxmt.SplitConfig method) check_save_shots() (qxmt.configs.DeviceConfig method) (qxmt.DeviceConfig method) check_shots() (qxmt.configs.DeviceConfig class method) (qxmt.DeviceConfig class method)

check_task_type_for_kernel() (qxmt.configs.GlobalSettingsConfig method) (qxmt.GlobalSettingsConfig method) custom_metrics (qxmt.configs.EvaluationConfig attribute) (qxmt.EvaluationConfig attribute)

D

data_path (qxmt.configs.FileConfig attribute) (qxmt.FileConfig attribute) dataset (qxmt.configs.ExperimentConfig attribute) (qxmt.ExperimentConfig attribute) DatasetConfig (class in qxmt) (class in qxmt.configs) default_metrics (qxmt.configs.EvaluationConfig attribute) (qxmt.EvaluationConfig attribute) default_objective() (qxmt.models.hyperparameter_search.HyperParameterSearch method)

description (qxmt.configs.ExperimentConfig attribute) (qxmt.ExperimentConfig attribute) device (qxmt.configs.ExperimentConfig attribute) (qxmt.ExperimentConfig attribute) device_name (qxmt.configs.DeviceConfig attribute) (qxmt.DeviceConfig attribute) DeviceConfig (class in qxmt) (class in qxmt.configs) DeviceSettingError, [1] dimension_reduction_by_pca() (in module qxmt.datasets.transform.reduction_by_pca)

E

evaluate() (qxmt.evaluation.metrics.Accuracy static method) (qxmt.evaluation.metrics.base.BaseMetric static method) (qxmt.evaluation.metrics.BaseMetric static method) (qxmt.evaluation.metrics.defaults_classification.Accuracy static method) (qxmt.evaluation.metrics.defaults_classification.F1Score static method) (qxmt.evaluation.metrics.defaults_classification.Precision static method) (qxmt.evaluation.metrics.defaults_classification.Recall static method) (qxmt.evaluation.metrics.defaults_classification.TargetAlignmet static method) (qxmt.evaluation.metrics.defaults_regression.MeanAbsoluteError static method) (qxmt.evaluation.metrics.defaults_regression.R2Score static method) (qxmt.evaluation.metrics.defaults_regression.RootMeanSquaredError static method) (qxmt.evaluation.metrics.F1Score static method) (qxmt.evaluation.metrics.MeanAbsoluteError static method) (qxmt.evaluation.metrics.Precision static method) (qxmt.evaluation.metrics.R2Score static method) (qxmt.evaluation.metrics.Recall static method) (qxmt.evaluation.metrics.RootMeanSquaredError static method)

evaluation (qxmt.configs.ExperimentConfig attribute) (qxmt.ExperimentConfig attribute) EvaluationConfig (class in qxmt) (class in qxmt.configs) Experiment (class in qxmt) ExperimentConfig (class in qxmt) (class in qxmt.configs) ExperimentNotInitializedError, [1] ExperimentRunSettingError, [1] ExperimentSettingError, [1]

F

F1Score (class in qxmt.evaluation.metrics) (class in qxmt.evaluation.metrics.defaults_classification) feature_map (qxmt.configs.ExperimentConfig attribute) (qxmt.configs.ModelConfig attribute) (qxmt.ExperimentConfig attribute) (qxmt.ModelConfig attribute) feature_map() (qxmt.feature_maps.pennylane.HRotationFeatureMap method) (qxmt.feature_maps.pennylane.ising.XXFeatureMap method) (qxmt.feature_maps.pennylane.ising.YYFeatureMap method) (qxmt.feature_maps.pennylane.ising.ZZFeatureMap method) (qxmt.feature_maps.pennylane.npqc.NPQCFeatureMap method) (qxmt.feature_maps.pennylane.NPQCFeatureMap method) (qxmt.feature_maps.pennylane.rotation.HRotationFeatureMap method) (qxmt.feature_maps.pennylane.rotation.RotationFeatureMap method) (qxmt.feature_maps.pennylane.RotationFeatureMap method) (qxmt.feature_maps.pennylane.XXFeatureMap method) (qxmt.feature_maps.pennylane.YYFeatureMap method) (qxmt.feature_maps.pennylane.yzcx.YZCXFeatureMap method) (qxmt.feature_maps.pennylane.YZCXFeatureMap method) (qxmt.feature_maps.pennylane.ZZFeatureMap method)

FeatureMapConfig (class in qxmt) (class in qxmt.configs) features (qxmt.configs.DatasetConfig attribute) (qxmt.DatasetConfig attribute) FidelityKernel (class in qxmt.kernels.pennylane) (class in qxmt.kernels.pennylane.fidelity_kernel) file (qxmt.configs.DatasetConfig attribute) (qxmt.DatasetConfig attribute) FileConfig (class in qxmt) (class in qxmt.configs) FileDataLoader (class in qxmt.datasets.file) (class in qxmt.datasets.file.loader) filter_by_categorical() (in module qxmt.datasets.raw_preprocess.filter)

G

generate (qxmt.configs.DatasetConfig attribute) (qxmt.DatasetConfig attribute) generate_linear_regression_data() (in module qxmt.datasets.generate) (in module qxmt.datasets.generate.linear) generate_linear_separable_data() (in module qxmt.datasets.generate) (in module qxmt.datasets.generate.linear) generate_method (qxmt.configs.GenerateDataConfig attribute) (qxmt.GenerateDataConfig attribute) GenerateDataConfig (class in qxmt) (class in qxmt.configs)

GeneratedDataLoader (class in qxmt.datasets.generate) (class in qxmt.datasets.generate.loader) get_commit_id() (in module qxmt.utils.git) get_git_add_code() (in module qxmt.utils.git) get_git_diff() (in module qxmt.utils.git) get_git_rm_code() (in module qxmt.utils.git) get_run_record() (qxmt.Experiment method) global_settings (qxmt.configs.ExperimentConfig attribute) (qxmt.ExperimentConfig attribute) GlobalSettingsConfig (class in qxmt) (class in qxmt.configs)

H

HRotationFeatureMap (class in qxmt.feature_maps.pennylane) (class in qxmt.feature_maps.pennylane.rotation)

HyperParameterSearch (class in qxmt.models.hyperparameter_search)

I

IBMQSettingError, [1] id (qxmt.configs.OpenMLConfig attribute) implement_name (qxmt.configs.FeatureMapConfig attribute) (qxmt.configs.KernelConfig attribute) (qxmt.FeatureMapConfig attribute) (qxmt.KernelConfig attribute) init() (qxmt.Experiment method)

InputShapeError, [1] InvalidConfigError InvalidFileExtensionError, [1] InvalidModelNameError, [1] InvalidPlatformError, [1] InvalidQunatumDeviceError, [1] is_git_available() (in module qxmt.utils.git)

J

JsonEncodingError, [1]

K

kernel (qxmt.configs.ExperimentConfig attribute) (qxmt.configs.ModelConfig attribute) (qxmt.ExperimentConfig attribute) (qxmt.ModelConfig attribute)

KernelConfig (class in qxmt) (class in qxmt.configs)

L

label_name (qxmt.configs.FileConfig attribute) (qxmt.FileConfig attribute) label_path (qxmt.configs.FileConfig attribute) (qxmt.FileConfig attribute) load() (qxmt.datasets.file.FileDataLoader method) (qxmt.datasets.file.loader.FileDataLoader method) (qxmt.datasets.generate.GeneratedDataLoader method) (qxmt.datasets.generate.loader.GeneratedDataLoader method) (qxmt.datasets.openml.loader.OpenMLDataLoader method) (qxmt.datasets.openml.OpenMLDataLoader method) (qxmt.Experiment method)

load_from_path() (qxmt.configs.ExperimentConfig method) (qxmt.ExperimentConfig method)

M

MeanAbsoluteError (class in qxmt.evaluation.metrics) (class in qxmt.evaluation.metrics.defaults_regression) model (qxmt.configs.ExperimentConfig attribute) (qxmt.ExperimentConfig attribute) model_config (qxmt.configs.DatasetConfig attribute) (qxmt.configs.DeviceConfig attribute) (qxmt.configs.EvaluationConfig attribute) (qxmt.configs.ExperimentConfig attribute) (qxmt.configs.FeatureMapConfig attribute) (qxmt.configs.FileConfig attribute) (qxmt.configs.GenerateDataConfig attribute) (qxmt.configs.GlobalSettingsConfig attribute) (qxmt.configs.KernelConfig attribute) (qxmt.configs.ModelConfig attribute) (qxmt.configs.OpenMLConfig attribute) (qxmt.configs.SplitConfig attribute) (qxmt.DatasetConfig attribute) (qxmt.DeviceConfig attribute) (qxmt.EvaluationConfig attribute) (qxmt.ExperimentConfig attribute) (qxmt.FeatureMapConfig attribute) (qxmt.FileConfig attribute) (qxmt.GenerateDataConfig attribute) (qxmt.GlobalSettingsConfig attribute) (qxmt.KernelConfig attribute) (qxmt.ModelConfig attribute) (qxmt.SplitConfig attribute) model_post_init() (qxmt.configs.FileConfig method) (qxmt.configs.OpenMLConfig method) (qxmt.FileConfig method) model_type (qxmt.configs.GlobalSettingsConfig attribute) (qxmt.GlobalSettingsConfig attribute) ModelConfig (class in qxmt) (class in qxmt.configs) ModelSettingError, [1] module qxmt qxmt.configs qxmt.constants qxmt.datasets.file qxmt.datasets.file.loader qxmt.datasets.generate qxmt.datasets.generate.linear qxmt.datasets.generate.loader qxmt.datasets.openml qxmt.datasets.openml.loader qxmt.datasets.raw_preprocess qxmt.datasets.raw_preprocess.filter qxmt.datasets.raw_preprocess.sampling qxmt.datasets.transform qxmt.datasets.transform.normalization qxmt.datasets.transform.reduction_by_pca qxmt.decorators qxmt.evaluation.metrics qxmt.evaluation.metrics.base qxmt.evaluation.metrics.defaults_classification qxmt.evaluation.metrics.defaults_regression qxmt.exceptions qxmt.feature_maps.pennylane qxmt.feature_maps.pennylane.ising qxmt.feature_maps.pennylane.npqc qxmt.feature_maps.pennylane.rotation qxmt.feature_maps.pennylane.yzcx qxmt.kernels.pennylane qxmt.kernels.pennylane.fidelity_kernel qxmt.kernels.pennylane.projected_kernel qxmt.logger qxmt.models.hyperparameter_search qxmt.types qxmt.utils.git qxmt.visualization.plot_classification_performance qxmt.visualization.plot_regression_performance

module_name (qxmt.configs.FeatureMapConfig attribute) (qxmt.configs.KernelConfig attribute) (qxmt.FeatureMapConfig attribute) (qxmt.KernelConfig attribute)

N

n_qubits (qxmt.configs.DeviceConfig attribute) (qxmt.DeviceConfig attribute) name (qxmt.configs.ModelConfig attribute) (qxmt.configs.OpenMLConfig attribute) (qxmt.ModelConfig attribute)

normalization() (in module qxmt.datasets.transform.normalization) notify_long_running() (in module qxmt.decorators) NPQCFeatureMap (class in qxmt.feature_maps.pennylane) (class in qxmt.feature_maps.pennylane.npqc)

O

openml (qxmt.configs.DatasetConfig attribute) (qxmt.DatasetConfig attribute) OpenMLConfig (class in qxmt.configs)

OpenMLDataLoader (class in qxmt.datasets.openml) (class in qxmt.datasets.openml.loader) output_score() (qxmt.evaluation.metrics.base.BaseMetric method) (qxmt.evaluation.metrics.BaseMetric method)

P

params (qxmt.configs.FeatureMapConfig attribute) (qxmt.configs.GenerateDataConfig attribute) (qxmt.configs.KernelConfig attribute) (qxmt.configs.ModelConfig attribute) (qxmt.FeatureMapConfig attribute) (qxmt.GenerateDataConfig attribute) (qxmt.KernelConfig attribute) (qxmt.ModelConfig attribute) path (qxmt.configs.ExperimentConfig attribute) (qxmt.ExperimentConfig attribute)

platform (qxmt.configs.DeviceConfig attribute) (qxmt.DeviceConfig attribute) plot_2d_predicted_result() (in module qxmt.visualization.plot_classification_performance) plot_actual_vs_predicted() (in module qxmt.visualization.plot_regression_performance) plot_residual() (in module qxmt.visualization.plot_regression_performance) Precision (class in qxmt.evaluation.metrics) (class in qxmt.evaluation.metrics.defaults_classification) ProjectedKernel (class in qxmt.kernels.pennylane) (class in qxmt.kernels.pennylane.projected_kernel)

Q

qxmt module qxmt.configs module qxmt.constants module qxmt.datasets.file module qxmt.datasets.file.loader module qxmt.datasets.generate module qxmt.datasets.generate.linear module qxmt.datasets.generate.loader module qxmt.datasets.openml module qxmt.datasets.openml.loader module qxmt.datasets.raw_preprocess module qxmt.datasets.raw_preprocess.filter module qxmt.datasets.raw_preprocess.sampling module qxmt.datasets.transform module qxmt.datasets.transform.normalization module qxmt.datasets.transform.reduction_by_pca module qxmt.decorators module qxmt.evaluation.metrics module

qxmt.evaluation.metrics.base module qxmt.evaluation.metrics.defaults_classification module qxmt.evaluation.metrics.defaults_regression module qxmt.exceptions module qxmt.feature_maps.pennylane module qxmt.feature_maps.pennylane.ising module qxmt.feature_maps.pennylane.npqc module qxmt.feature_maps.pennylane.rotation module qxmt.feature_maps.pennylane.yzcx module qxmt.kernels.pennylane module qxmt.kernels.pennylane.fidelity_kernel module qxmt.kernels.pennylane.projected_kernel module qxmt.logger module qxmt.models.hyperparameter_search module qxmt.types module qxmt.utils.git module qxmt.visualization.plot_classification_performance module qxmt.visualization.plot_regression_performance module

R

R2Score (class in qxmt.evaluation.metrics) (class in qxmt.evaluation.metrics.defaults_regression) random_seed (qxmt.configs.DeviceConfig attribute) (qxmt.configs.GlobalSettingsConfig attribute) (qxmt.DeviceConfig attribute) (qxmt.GlobalSettingsConfig attribute) raw_preprocess_logic (qxmt.configs.DatasetConfig attribute) (qxmt.DatasetConfig attribute) Recall (class in qxmt.evaluation.metrics) (class in qxmt.evaluation.metrics.defaults_classification)

reproduce() (qxmt.Experiment method) ReproductionError, [1] retry_on_exception() (in module qxmt.decorators) return_format (qxmt.configs.OpenMLConfig attribute) RootMeanSquaredError (class in qxmt.evaluation.metrics) (class in qxmt.evaluation.metrics.defaults_regression) RotationFeatureMap (class in qxmt.feature_maps.pennylane) (class in qxmt.feature_maps.pennylane.rotation) run() (qxmt.Experiment method) run_evaluation() (qxmt.Experiment method) runs_to_dataframe() (qxmt.Experiment method)

S

sampling_by_each_class() (in module qxmt.datasets.raw_preprocess.sampling) sampling_by_num() (in module qxmt.datasets.raw_preprocess.sampling) save_experiment() (qxmt.Experiment method) save_path (qxmt.configs.OpenMLConfig attribute) save_shots_results (qxmt.configs.DeviceConfig attribute) (qxmt.DeviceConfig attribute) search() (qxmt.models.hyperparameter_search.HyperParameterSearch method) set_default_logger() (in module qxmt.logger) set_score() (qxmt.evaluation.metrics.base.BaseMetric method) (qxmt.evaluation.metrics.BaseMetric method)

shots (qxmt.configs.DeviceConfig attribute) (qxmt.DeviceConfig attribute) shuffle (qxmt.configs.SplitConfig attribute) (qxmt.SplitConfig attribute) split (qxmt.configs.DatasetConfig attribute) (qxmt.DatasetConfig attribute) SplitConfig (class in qxmt) (class in qxmt.configs)

T

TargetAlignmet (class in qxmt.evaluation.metrics.defaults_classification) task_type (qxmt.configs.GlobalSettingsConfig attribute) (qxmt.GlobalSettingsConfig attribute) test_ratio (qxmt.configs.SplitConfig attribute) (qxmt.SplitConfig attribute)

train_ratio (qxmt.configs.SplitConfig attribute) (qxmt.SplitConfig attribute) transform_logic (qxmt.configs.DatasetConfig attribute) (qxmt.DatasetConfig attribute)

V

validation_ratio (qxmt.configs.SplitConfig attribute) (qxmt.SplitConfig attribute)

X

XXFeatureMap (class in qxmt.feature_maps.pennylane) (class in qxmt.feature_maps.pennylane.ising)

Y

YYFeatureMap (class in qxmt.feature_maps.pennylane) (class in qxmt.feature_maps.pennylane.ising)

YZCXFeatureMap (class in qxmt.feature_maps.pennylane) (class in qxmt.feature_maps.pennylane.yzcx)

Z

ZZFeatureMap (class in qxmt.feature_maps.pennylane) (class in qxmt.feature_maps.pennylane.ising)