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Qiskit Machine Learning 0.8.2
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Qiskit Machine Learning 0.8.2
  • Overview
  • Getting Started
  • Migration Guide
    • Qiskit Machine Learning v0.5 Migration Guide
    • Qiskit Machine Learning v0.8 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
      • VQC
      • NeuralNetworkClassifier
      • QSVR
      • VQR
      • NeuralNetworkRegressor
      • QBayesian
    • 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
    • Gradients (qiskit_machine_learning.gradients)
      • BaseEstimatorGradient
      • BaseSamplerGradient
      • EstimatorGradientResult
      • SamplerGradientResult
      • LinCombEstimatorGradient
      • LinCombSamplerGradient
      • ParamShiftEstimatorGradient
      • ParamShiftSamplerGradient
      • SPSAEstimatorGradient
      • SPSASamplerGradient
    • 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
    • Optimizers (qiskit_machine_learning.optimizers)
      • OptimizerResult
      • Optimizer
      • Minimizer
      • optimizer_utils
      • SteppableOptimizer
      • AskData
      • TellData
      • OptimizerState
      • ADAM
      • AQGD
      • CG
      • COBYLA
      • L_BFGS_B
      • GSLS
      • GradientDescent
      • GradientDescentState
      • NELDER_MEAD
      • NFT
      • P_BFGS
      • POWELL
      • SLSQP
      • SPSA
      • QNSPSA
      • TNC
      • SciPyOptimizer
      • UMDA
      • CRS
      • DIRECT_L
      • DIRECT_L_RAND
      • ESCH
      • ISRES
    • State Fidelities (qiskit_machine_learning.state_fidelities)
      • BaseStateFidelity
      • ComputeUncompute
      • StateFidelityResult
    • 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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Qiskit Machine Learning Migration Guide¶

Qiskit Machine Learning v0.5 Migration Guide
Qiskit Machine Learning v0.8 Migration Guide
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