Enum QMLTrainingAlgorithm 

pub enum QMLTrainingAlgorithm {
    ParameterShift,
    FiniteDifference,
    QuantumNaturalGradient,
    SPSA,
    QAOA,
    VQE,
    Rotosolve,
    HybridTraining,
}

QML training algorithms

Variants

ParameterShift

Parameter-shift rule gradient descent

FiniteDifference

Finite difference gradient descent

QuantumNaturalGradient

Quantum Natural Gradient

SPSA

SPSA (Simultaneous Perturbation Stochastic Approximation)

QAOA

Quantum Approximate Optimization Algorithm

VQE

Variational Quantum Eigensolver

Rotosolve

Quantum Machine Learning with Rotosolve

HybridTraining

Hybrid Classical-Quantum training

Trait Implementations

impl Clone for QMLTrainingAlgorithm

fn clone(&self) -> QMLTrainingAlgorithm

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for QMLTrainingAlgorithm

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for QMLTrainingAlgorithm

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for QMLTrainingAlgorithm

fn eq(&self, other: &QMLTrainingAlgorithm) -> 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 QMLTrainingAlgorithm

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 QMLTrainingAlgorithm

impl Eq for QMLTrainingAlgorithm

impl StructuralPartialEq for QMLTrainingAlgorithm