Enum GradientMethod 

pub enum GradientMethod {
    ParameterShift,
    FiniteDifference,
    Adjoint,
    Backpropagation,
    QuantumFisherInformation,
}

Gradient computation methods

Variants

ParameterShift

Parameter-shift rule

FiniteDifference

Finite difference

Adjoint

Adjoint differentiation

Backpropagation

Backpropagation through quantum circuit

QuantumFisherInformation

Quantum Fisher Information

Trait Implementations

impl Clone for GradientMethod

fn clone(&self) -> GradientMethod

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GradientMethod

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for GradientMethod

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for GradientMethod

fn eq(&self, other: &GradientMethod) -> 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 Serialize for GradientMethod

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Copy for GradientMethod

impl Eq for GradientMethod

impl StructuralPartialEq for GradientMethod