Enum DifferentiationMethod 

pub enum DifferentiationMethod {
    ParameterShift,
    FiniteDifference,
    CentralDifference,
    ComplexStep,
    DualNumber,
    Hybrid,
}

Methods for computing quantum gradients

Variants

ParameterShift

Parameter-shift rule (exact for many quantum gates)

FiniteDifference

Finite differences (numerical approximation)

CentralDifference

Central differences (more accurate numerical)

ComplexStep

Complex step differentiation

DualNumber

Automatic differentiation using dual numbers

Hybrid

Hybrid method (automatic selection)

Trait Implementations

impl Clone for DifferentiationMethod

fn clone(&self) -> DifferentiationMethod

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DifferentiationMethod

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

Formats the value using the given formatter.

impl Display for DifferentiationMethod

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

Formats the value using the given formatter.

impl PartialEq for DifferentiationMethod

fn eq(&self, other: &DifferentiationMethod) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for DifferentiationMethod

impl Eq for DifferentiationMethod

impl StructuralPartialEq for DifferentiationMethod