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Qiskit Machine Learning 0.7.1
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Qiskit Machine Learning 0.7.1
  • Descripción general
  • Primeros Pasos
  • Guía de Migración
    • Guía de Migración de Qiskit Machine Learning v0.5
  • Tutoriales
    • Redes Neuronales Cuánticas
    • Redes Neuronales de Clasificación y Regresión
    • Entrenamiento de un Modelo Cuántico en un Conjunto de Datos Real
    • Machine Learning con Kernel Cuántico
    • Implementación de PyTorch qGAN
    • Conector Torch y QNNs Híbridas
    • Clasificador Cuántico de Vectores de Soporte tipo Pegasos
    • Entrenamiento de Kernel Cuántico para Aplicaciones de Machine Learning
    • Guardar, Cargar Modelos de Qiskit Machine Learning y Entrenamiento Continuo
    • Dimensión Efectiva de las Redes Neuronales de Qiskit
    • La Red Neuronal Convolucional Cuántica
    • El Autocodificador Cuántico
  • Referencia de la API
    • QiskitMachineLearningError
    • Quantum machine learning algorithms (qiskit_machine_learning.algorithms)
      • TrainableModel
      • ObjectiveFunction
      • SerializableModelMixin
      • BinaryObjectiveFunction
      • MultiClassObjectiveFunction
      • OneHotObjectiveFunction
      • PegasosQSVC
      • QSVC
      • NeuralNetworkClassifier
      • VQC
      • 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
  • Notas de la Versión
  • GitHub
  • English
  • Bengali
  • French
  • Hindi
  • Japanese
  • Korean
  • Russian
  • Spanish
  • Tamil
  • Turkish
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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