pub struct HybridNeuralNetwork { /* private fields */ }Expand description
Hybrid quantum-classical neural network
Implementations§
Source§impl HybridNeuralNetwork
impl HybridNeuralNetwork
Sourcepub fn new(config: HybridLearningConfig) -> QuantRS2Result<Self>
pub fn new(config: HybridLearningConfig) -> QuantRS2Result<Self>
Create a new hybrid neural network
Sourcepub fn forward(&mut self, input: &Array1<f64>) -> QuantRS2Result<Array1<f64>>
pub fn forward(&mut self, input: &Array1<f64>) -> QuantRS2Result<Array1<f64>>
Forward pass through the hybrid network
Sourcepub fn train(&mut self, training_data: &TrainingData) -> QuantRS2Result<()>
pub fn train(&mut self, training_data: &TrainingData) -> QuantRS2Result<()>
Training loop for the hybrid network
Sourcepub fn evaluate(
&mut self,
inputs: &Array2<f64>,
targets: &Array2<f64>,
) -> QuantRS2Result<(f64, f64)>
pub fn evaluate( &mut self, inputs: &Array2<f64>, targets: &Array2<f64>, ) -> QuantRS2Result<(f64, f64)>
Evaluate the model on test data
Sourcepub fn get_training_history(&self) -> &TrainingHistory
pub fn get_training_history(&self) -> &TrainingHistory
Get training history
Sourcepub fn get_quantum_advantage(&self) -> Option<f64>
pub fn get_quantum_advantage(&self) -> Option<f64>
Get quantum advantage analysis
Trait Implementations§
Auto Trait Implementations§
impl Freeze for HybridNeuralNetwork
impl RefUnwindSafe for HybridNeuralNetwork
impl Send for HybridNeuralNetwork
impl Sync for HybridNeuralNetwork
impl Unpin for HybridNeuralNetwork
impl UnwindSafe for HybridNeuralNetwork
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