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Qiskit Machine Learning 0.8.0
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Qiskit Machine Learning 0.8.0
  • Overview
  • Getting Started
  • Migration Guide
    • Qiskit Machine Learning v0.5 Migration Guide
  • Tutorials
    • Quantum Neural Networks
    • Neural Network Classifier & Regressor
    • Training a Quantum Model on a Real Dataset
    • Quantum Kernel Machine Learning
    • PyTorch qGAN Implementation
    • Torch Connector and Hybrid QNNs
    • Pegasos Quantum Support Vector Classifier
    • Quantum Kernel Training for Machine Learning Applications
    • Saving, Loading Qiskit Machine Learning Models and Continuous Training
    • Effective Dimension of Qiskit Neural Networks
    • The Quantum Convolution Neural Network
    • The Quantum Autoencoder
    • Quantum Bayesian Inference
  • API Reference
    • QiskitMachineLearningError
    • Quantum machine learning algorithms (qiskit_machine_learning.algorithms)
      • TrainableModel
      • ObjectiveFunction
      • SerializableModelMixin
      • BinaryObjectiveFunction
      • MultiClassObjectiveFunction
      • OneHotObjectiveFunction
      • PegasosQSVC
      • QSVC
      • NeuralNetworkClassifier
      • VQC
      • QBayesian
      • QSVR
      • NeuralNetworkRegressor
      • VQR
    • Circuit library for machine learning applications (qiskit_machine_learning.circuit.library)
      • RawFeatureVector
      • QNNCircuit
    • Connectors (qiskit_machine_learning.connectors)
      • TorchConnector
    • Datasets (qiskit_machine_learning.datasets)
      • ad_hoc_data
    • Quantum kernels (qiskit_machine_learning.kernels)
      • BaseKernel
      • FidelityQuantumKernel
      • FidelityStatevectorKernel
      • TrainableKernel
      • TrainableFidelityQuantumKernel
      • TrainableFidelityStatevectorKernel
      • Quantum Kernel Algorithms
        • QuantumKernelTrainer
        • QuantumKernelTrainerResult
    • Quantum neural networks (qiskit_machine_learning.neural_networks)
      • NeuralNetwork
      • EstimatorQNN
      • SamplerQNN
      • EffectiveDimension
      • LocalEffectiveDimension
    • Utility functions and classes (qiskit_machine_learning.utils)
      • Loss Functions (qiskit_machine_learning.utils.loss_functions)
        • Loss
        • KernelLoss
        • L1Loss
        • L2Loss
        • CrossEntropyLoss
        • SVCLoss
  • Release Notes
  • GitHub
  • English
  • Japanese
  • Spanish
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Datasets (qiskit_machine_learning.datasets)¶

A set of sample datasets suitable for machine learning problems

Datasets¶

ad_hoc_data

Generates a toy dataset that can be fully separated with ZZFeatureMap according to the procedure outlined in [1].
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  • Datasets (qiskit_machine_learning.datasets)
    • Datasets