QuantumMLFramework

Struct QuantumMLFramework 

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pub struct QuantumMLFramework { /* private fields */ }
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Main quantum machine learning layers framework

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impl QuantumMLFramework

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pub fn new(config: QMLConfig) -> Result<Self>

Create new quantum ML framework

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pub fn forward(&mut self, input: &Array1<f64>) -> Result<Array1<f64>>

Forward pass through the quantum ML model

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pub fn backward(&mut self, loss_gradient: &Array1<f64>) -> Result<Array1<f64>>

Backward pass for gradient computation

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pub fn train( &mut self, training_data: &[(Array1<f64>, Array1<f64>)], validation_data: Option<&[(Array1<f64>, Array1<f64>)]>, ) -> Result<QMLTrainingResult>

Train the quantum ML model

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pub fn evaluate(&mut self, data: &[(Array1<f64>, Array1<f64>)]) -> Result<f64>

Evaluate the model on validation data

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pub fn get_stats(&self) -> &QMLStats

Get training statistics

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pub fn get_training_history(&self) -> &[QMLTrainingResult]

Get training history

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pub fn get_layers(&self) -> &[Box<dyn QMLLayer>]

Get layers reference

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pub fn get_config(&self) -> &QMLConfig

Get config reference

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pub fn encode_amplitude_public( &self, input: &Array1<f64>, ) -> Result<Array1<Complex64>>

Encode amplitude (public version)

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pub fn encode_angle_public( &self, input: &Array1<f64>, ) -> Result<Array1<Complex64>>

Encode angle (public version)

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pub fn encode_basis_public( &self, input: &Array1<f64>, ) -> Result<Array1<Complex64>>

Encode basis (public version)

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pub fn encode_quantum_feature_map_public( &self, input: &Array1<f64>, ) -> Result<Array1<Complex64>>

Encode quantum feature map (public version)

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pub fn measure_pauli_z_expectation_public( &self, state: &Array1<Complex64>, qubit: usize, ) -> Result<f64>

Measure Pauli Z expectation (public version)

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pub fn get_current_learning_rate_public(&self, epoch: usize) -> f64

Get current learning rate (public version)

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pub fn compute_loss_public( &self, prediction: &Array1<f64>, target: &Array1<f64>, ) -> Result<f64>

Compute loss (public version)

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pub fn compute_loss_gradient_public( &self, prediction: &Array1<f64>, target: &Array1<f64>, ) -> Result<Array1<f64>>

Compute loss gradient (public version)

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impl Debug for QuantumMLFramework

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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