Skip to main content
Back to top
Ctrl
+
K
qxmt 0.6.0 documentation
QXMT reference
qxmt.ansatze package
qxmt.ansatze.pennylane package
qxmt.ansatze.pennylane.all_singles_doubles module
qxmt.ansatze.pennylane.gete_fabric module
qxmt.ansatze.pennylane.kupccgsd module
qxmt.ansatze.pennylane.particle_conserving_u1 module
qxmt.ansatze.pennylane.particle_conserving_u2 module
qxmt.ansatze.pennylane.uccsd module
qxmt.ansatze.base module
qxmt.ansatze.builder module
qxmt.datasets package
qxmt.datasets.file package
qxmt.datasets.file.loader module
qxmt.datasets.generate package
qxmt.datasets.generate.linear module
qxmt.datasets.generate.loader module
qxmt.datasets.openml package
qxmt.datasets.openml.loader module
qxmt.datasets.raw_preprocess package
qxmt.datasets.raw_preprocess.sampling module
qxmt.datasets.raw_preprocess.filter module
qxmt.datasets.transform package
qxmt.datasets.transform.normalizer module
qxmt.datasets.transform.reducer module
qxmt.datasets.builder module
qxmt.datasets.schema module
qxmt.devices package
qxmt.devices.amazon module
qxmt.devices.amazon_device module
qxmt.devices.base module
qxmt.devices.builder module
qxmt.devices.device_info module
qxmt.devices.ibmq module
qxmt.devices.ibmq_device module
qxmt.devices.pennylane_device module
qxmt.devices.qulacs_device module
qxmt.evaluation package
qxmt.evaluation.metrics package
qxmt.evaluation.metrics.base module
qxmt.evaluation.metrics.defaults_classification module
qxmt.evaluation.metrics.defaults_regression module
qxmt.evaluation.metrics.defaults_vqe module
qxmt.evaluation.evaluation module
qxmt.experiment package
qxmt.experiment.evaluation_factory module
qxmt.experiment.executor module
qxmt.experiment.experiment module
qxmt.experiment.repository module
qxmt.experiment.reproducer module
qxmt.experiment.schema module
qxmt.feature_maps package
qxmt.feature_maps.pennylane package
qxmt.feature_maps.pennylane.base module
qxmt.feature_maps.pennylane.rotation module
qxmt.feature_maps.pennylane.ising module
qxmt.feature_maps.pennylane.npqc module
qxmt.feature_maps.pennylane.yzcx module
qxmt.feature_maps.qulacs package
qxmt.feature_maps.qulacs.base module
qxmt.feature_maps.qulacs.ising module
qxmt.feature_maps.qulacs.npqc module
qxmt.feature_maps.qulacs.rotation module
qxmt.feature_maps.qulacs.yzcx module
qxmt.feature_maps.base module
qxmt.generators package
qxmt.generators.description module
qxmt.generators.prompts module
qxmt.hamiltonians package
qxmt.hamiltonians.pennylane package
qxmt.hamiltonians.pennylane.molecular module
qxmt.hamiltonians.base module
qxmt.hamiltonians.builder module
qxmt.hamiltonians.energy_data module
qxmt.kernels package
qxmt.kernels.pennylane package
qxmt.kernels.pennylane.base module
qxmt.kernels.pennylane.fidelity_kernel module
qxmt.kernels.pennylane.projected_kernel module
qxmt.kernels.qulacs package
qxmt.kernels.qulacs.base module
qxmt.kernels.qulacs.fidelity_kernel module
qxmt.kernels.qulacs.projected_kernel module
qxmt.kernels.base module
qxmt.kernels.sampling module
qxmt.models package
qxmt.models.hyperparameter_search package
qxmt.models.hyperparameter_search.search module
qxmt.models.qkernels package
qxmt.models.qkernels.base module
qxmt.models.qkernels.builder module
qxmt.models.qkernels.qrigge module
qxmt.models.qkernels.qsvc module
qxmt.models.qkernels.qsvr module
qxmt.models.vqe package
qxmt.models.vqe.base module
qxmt.models.vqe.basic module
qxmt.models.vqe.builder module
qxmt.models.builder module
qxmt.utils package
qxmt.utils.git module
qxmt.utils.yaml module
qxmt.visualization package
qxmt.visualization.plot_classification_performance module
qxmt.visualization.plot_dataset module
qxmt.visualization.plot_metrics module
qxmt.visualization.plot_optimization_performance module
qxmt.visualization.plot_regression_performance module
qxmt.visualization.plot_vqe_performance module
qxmt.configs module
qxmt.constants module
qxmt.decorators module
qxmt.exceptions module
qxmt.logger module
qxmt.types module
Tutorial: Applying QXMT to Your Own Experiments
Simple Case Using Only the Default Dataset and Quantum Kernel Model
Practical Case with Custom Functions and the MNIST Dataset for Quantum Kernel Models
Using the VQE Module for Quantum Chemistry Calculations
Tool Reference
.rst
.pdf
qxmt.visualization.plot_classification_performance module
English
日本語
qxmt.visualization.plot_classification_performance module
#