OptimizationProblem

quantrs2_device::vqa_support::optimization

Struct OptimizationProblem 

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pub struct OptimizationProblem {
    pub ansatz: ParametricCircuit,
    pub objective_function: Box<dyn ObjectiveFunction>,
    pub bounds: Option<Vec<(f64, f64)>>,
    pub constraints: Vec<OptimizationConstraint>,
}
Expand description

Optimization problem definition

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§ansatz: ParametricCircuit§objective_function: Box<dyn ObjectiveFunction>§bounds: Option<Vec<(f64, f64)>>§constraints: Vec<OptimizationConstraint>

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impl OptimizationProblem

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pub fn new( ansatz: ParametricCircuit, objective_function: Box<dyn ObjectiveFunction>, ) -> Self

Create new optimization problem

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pub fn with_bounds(self, bounds: Vec<(f64, f64)>) -> Self

Add parameter bounds

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pub fn with_constraint(self, constraint: OptimizationConstraint) -> Self

Add optimization constraint

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pub fn evaluate_objective(&self, parameters: &Array1<f64>) -> DeviceResult<f64>

Evaluate objective function at given parameters

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pub fn compute_gradient( &self, parameters: &Array1<f64>, ) -> DeviceResult<Array1<f64>>

Compute gradient using parameter shift rule

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pub fn check_constraints(&self, parameters: &Array1<f64>) -> bool

Check if parameters satisfy constraints

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