Struct SparseChannel 

pub struct SparseChannel {
    pub patterns: Vec<u32>,
    pub weights: Vec<f64>,
    pub n: u32,
}

A sparse Pauli channel given by its error distribution p(y) over n-bit error patterns — the structure noise_learn assumes. weights sum to 1 and include the identity pattern (0). The channel’s Pauli fidelities are λ_x = Σ_y p(y)·(−1)^{x·y} — its Walsh–Hadamard spectrum.

Fields

patterns: Vec<u32>

weights: Vec<f64>

n: u32

Implementations

impl SparseChannel

pub fn fidelity(&self, x: u32) -> f64

The Pauli fidelity λ_x (exact, from the model).

Trait Implementations

impl Clone for SparseChannel

fn clone(&self) -> SparseChannel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SparseChannel

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

Formats the value using the given formatter.