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Quantum machine learning primitives
Re-exportsยง
pub use crate::qml::encoding::DataEncoder;pub use crate::qml::encoding::DataReuploader;pub use crate::qml::encoding::FeatureMap;pub use crate::qml::encoding::FeatureMapType;pub use crate::qml::generative_adversarial::NoiseType;pub use crate::qml::generative_adversarial::QGANConfig;pub use crate::qml::generative_adversarial::QGANIterationMetrics;pub use crate::qml::generative_adversarial::QGANTrainingStats;pub use crate::qml::generative_adversarial::QuantumDiscriminator;pub use crate::qml::generative_adversarial::QuantumGenerator;pub use crate::qml::generative_adversarial::QGAN;pub use crate::qml::layers::EntanglingLayer;pub use crate::qml::layers::HardwareEfficientLayer;pub use crate::qml::layers::PoolingStrategy;pub use crate::qml::layers::QuantumPoolingLayer;pub use crate::qml::layers::RotationLayer;pub use crate::qml::layers::StronglyEntanglingLayer;pub use crate::qml::reinforcement_learning::Experience;pub use crate::qml::reinforcement_learning::QLearningStats;pub use crate::qml::reinforcement_learning::QuantumActorCritic;pub use crate::qml::reinforcement_learning::QuantumDQN;pub use crate::qml::reinforcement_learning::QuantumPolicyNetwork;pub use crate::qml::reinforcement_learning::QuantumRLConfig;pub use crate::qml::reinforcement_learning::QuantumValueNetwork;pub use crate::qml::reinforcement_learning::ReplayBuffer;pub use crate::qml::reinforcement_learning::TrainingMetrics as RLTrainingMetrics;pub use crate::qml::training::HPOStrategy;pub use crate::qml::training::HyperparameterOptimizer;pub use crate::qml::training::LossFunction;pub use crate::qml::training::Optimizer;pub use crate::qml::training::QMLTrainer;pub use crate::qml::training::TrainingConfig;pub use crate::qml::training::TrainingMetrics;pub use crate::qml::create_entangling_gates;pub use crate::qml::natural_gradient;pub use crate::qml::quantum_fisher_information;pub use crate::qml::EncodingStrategy;pub use crate::qml::EntanglementPattern;pub use crate::qml::QMLCircuit;pub use crate::qml::QMLConfig;pub use crate::qml::QMLLayer;pub use crate::quantum_ml_accelerators::HardwareEfficientMLLayer;pub use crate::quantum_ml_accelerators::ParameterShiftOptimizer;pub use crate::quantum_ml_accelerators::QuantumFeatureMap;pub use crate::quantum_ml_accelerators::QuantumKernelOptimizer;pub use crate::quantum_ml_accelerators::QuantumNaturalGradient;pub use crate::quantum_ml_accelerators::TensorNetworkMLAccelerator;