Struct QNNBuilder 

pub struct QNNBuilder { /* private fields */ }

Builder for quantum neural networks

Provides a fluent API to construct a QuantumNeuralNetwork by adding encoding, variational, entanglement, and measurement layers.

Examples

use quantrs2_ml::qnn::QNNBuilder;

let qnn = QNNBuilder::new()
    .with_qubits(2)
    .with_input_dim(2)
    .with_output_dim(1)
    .add_encoding_layer(2)
    .add_variational_layer(4)
    .build()
    .expect("valid QNN configuration");
assert_eq!(qnn.num_qubits, 2);

Implementations

impl QNNBuilder

pub fn new() -> Self

Creates a new QNN builder

pub fn with_qubits(self, num_qubits: usize) -> Self

Sets the number of qubits

pub fn with_input_dim(self, input_dim: usize) -> Self

Sets the input dimension

pub fn with_output_dim(self, output_dim: usize) -> Self

Sets the output dimension

pub fn add_encoding_layer(self, num_features: usize) -> Self

Adds an encoding layer

pub fn add_layer(self, size: usize) -> Self

Adds a layer (alias for add_encoding_layer for compatibility)

pub fn add_variational_layer(self, num_params: usize) -> Self

Adds a variational layer

pub fn add_entanglement_layer(self, connectivity: &str) -> Self

Adds an entanglement layer

pub fn add_measurement_layer(self, measurement_basis: &str) -> Self

Adds a measurement layer

pub fn build(self) -> Result<QuantumNeuralNetwork>

Builds the quantum neural network

Trait Implementations

impl Clone for QNNBuilder

fn clone(&self) -> QNNBuilder

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for QNNBuilder

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

Formats the value using the given formatter.