Contents Menu Expand Light mode Dark mode Auto light/dark mode
Qiskit Machine Learning 0.8.3
Qiskit Ecosystem logo
Qiskit Machine Learning 0.8.3
  • 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
Back to top



Qiskit Machine Learning Migration Guide¶

Qiskit Machine Learning v0.5 Migration Guide
Qiskit Machine Learning v0.8 Migration Guide
Was this page helpful?
Yes No
Thank you!
Next
Qiskit Machine Learning v0.5 Migration Guide
Previous
Getting started
Copyright © 2018, 2025, Qiskit Machine Learning Development Team
Made with Sphinx and @pradyunsg's Furo