Struct MatrixFreeMeasurementMitigation 

pub struct MatrixFreeMeasurementMitigation {
    pub calibration: M3Calibration,
    pub max_iterations: usize,
    pub tolerance: f64,
    pub solver_method: M3SolverMethod,
}

Matrix-free Measurement Mitigation (M3) implementation

M3 provides scalable measurement error mitigation without needing to construct or invert the full assignment matrix. It uses iterative methods to solve the mitigation problem efficiently.

Fields

calibration: M3Calibration

Calibration data: confusion matrices per qubit

max_iterations: usize

Maximum iterations for iterative solver

tolerance: f64

Convergence tolerance

solver_method: M3SolverMethod

Method for solving the inverse problem

Implementations

impl MatrixFreeMeasurementMitigation

pub fn new(calibration: M3Calibration) -> Self

Create a new M3 instance

pub fn calibrate<F>( &mut self, executor: F, num_qubits: usize, shots: usize, ) -> Result<()>

where F: Fn(&str, usize) -> Result<HashMap<String, usize>>,

Calibrate M3 using calibration circuits

pub fn mitigate( &self, counts: &HashMap<String, usize>, num_qubits: usize, ) -> Result<M3Result>

Apply M3 to mitigate measurement errors

pub fn expectation_value(&self, result: &M3Result, observable: &[i8]) -> f64

Compute expectation value from mitigated probabilities

Trait Implementations

impl Clone for MatrixFreeMeasurementMitigation

fn clone(&self) -> MatrixFreeMeasurementMitigation

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MatrixFreeMeasurementMitigation

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

Formats the value using the given formatter.

impl Default for MatrixFreeMeasurementMitigation

fn default() -> Self

Returns the “default value” for a type.