Struct HamiltonianExpectation 

pub struct HamiltonianExpectation {
    pub hamiltonian: SymbolicHamiltonian,
    pub circuit_parameters: Vec<String>,
    pub state_prep: Option<Box<dyn Fn(&HashMap<String, f64>) -> QuantRS2Result<Vec<Complex64>>>>,
}

Hamiltonian expectation value objective for VQE

Fields

hamiltonian: SymbolicHamiltonian

The Hamiltonian

circuit_parameters: Vec<String>

Parametric quantum circuit (simplified representation)

state_prep: Option<Box<dyn Fn(&HashMap<String, f64>) -> QuantRS2Result<Vec<Complex64>>>>

State preparation function (placeholder)

Implementations

impl HamiltonianExpectation

pub fn new(hamiltonian: SymbolicHamiltonian) -> Self

Create a new Hamiltonian expectation objective

pub fn with_state_prep<F>(self, state_prep: F) -> Self

where F: Fn(&HashMap<String, f64>) -> QuantRS2Result<Vec<Complex64>> + 'static,

Set the state preparation function

Trait Implementations

impl Clone for HamiltonianExpectation

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for HamiltonianExpectation

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

Formats the value using the given formatter.

impl SymbolicObjective for HamiltonianExpectation

fn evaluate(&self, parameters: &HashMap<String, f64>) -> QuantRS2Result<f64>

Evaluate the objective function

fn gradients( &self, parameters: &HashMap<String, f64>, ) -> QuantRS2Result<HashMap<String, f64>>

Compute gradients (analytical if available, numerical otherwise)

fn parameter_names(&self) -> Vec<String>

Get parameter names

fn parameter_bounds(&self) -> HashMap<String, (Option<f64>, Option<f64>)>

Get parameter bounds (if any)