Struct VariationalQuantumClassifier 

pub struct VariationalQuantumClassifier {
    pub feature_map: QuantumFeatureMap,
    pub ansatz: QuantumCircuit,
    pub parameters: Vec<f64>,
    pub num_classes: usize,
    pub config: VqcConfig,
    pub training_history: TrainingHistory,
}

Variational Quantum Classifier

Fields

feature_map: QuantumFeatureMap

Feature map for data encoding

ansatz: QuantumCircuit

Variational ansatz

parameters: Vec<f64>

Trainable parameters

num_classes: usize

Number of classes

config: VqcConfig

Training configuration

training_history: TrainingHistory

Training history

Implementations

impl VariationalQuantumClassifier

pub fn new( num_features: usize, num_qubits: usize, num_classes: usize, ansatz_layers: usize, config: VqcConfig, ) -> QmlResult<Self>

Create a new VQC

pub fn train(&mut self, training_data: &[TrainingSample]) -> QmlResult<()>

Train the classifier using annealing optimization

pub fn predict(&self, features: &[f64]) -> QmlResult<usize>

Predict class for input features

pub fn predict_proba(&self, features: &[f64]) -> QmlResult<Vec<f64>>

Predict class probabilities

Trait Implementations

impl Clone for VariationalQuantumClassifier

fn clone(&self) -> VariationalQuantumClassifier

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for VariationalQuantumClassifier

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

Formats the value using the given formatter.