Struct QuantumTransformer 

pub struct QuantumTransformer {
    pub n_qubits: usize,
    pub gate_sequence: Vec<QuantumGate>,
    pub backend: QuantumBackend,
}

Quantum-inspired machine learning transformer

This transformer uses quantum computing concepts for data transformation Currently provides a classical simulation of quantum algorithms

Fields

n_qubits: usize

Number of qubits to simulate

gate_sequence: Vec<QuantumGate>

Quantum gate configuration

backend: QuantumBackend

Classical simulation backend

Implementations

impl QuantumTransformer

pub fn new(n_qubits: usize) -> Self

Create a new quantum transformer

pub fn add_gate(&mut self, gate: QuantumGate) -> &mut Self

Add a quantum gate to the sequence

pub fn with_backend(self, backend: QuantumBackend) -> Self

Set the quantum backend

Trait Implementations

impl Clone for QuantumTransformer

fn clone(&self) -> QuantumTransformer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for QuantumTransformer

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

Formats the value using the given formatter.

impl Default for QuantumTransformer

fn default() -> Self

Returns the “default value” for a type.

impl<T: Clone + Into<f64> + Debug> Transform<ArrayBase<OwnedRepr<T>, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>> for QuantumTransformer

fn transform(&self, input: &Array2<T>) -> Result<Array2<f64>>

Transform the input data