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SpsaOptimizer

qualia_core_db::solvers::quantum_optimizers

Struct SpsaOptimizer

#[repr(C)]
pub struct SpsaOptimizer {Show 14 fields
    pub parameters: [f64; 20],
    pub perturbation: [f64; 20],
    pub gradient: [f64; 20],
    pub cost_plus: f64,
    pub cost_minus: f64,
    pub ck: f64,
    pub ak: f64,
    pub a: f64,
    pub c: f64,
    pub alpha: f64,
    pub gamma: f64,
    pub num_params: u8,
    pub config: SolverConfig,
    pub solver_state: SolverState,
}

Expand description

SPSA optimizer for quantum hardware noise resilience

Fields§

§parameters: [f64; 20]

Current parameters

§perturbation: [f64; 20]

Perturbation vector

§gradient: [f64; 20]

Gradient estimates

§cost_plus: f64

Cost evaluations

§cost_minus: f64§ck: f64

Perturbation parameters

§ak: f64§a: f64§c: f64§alpha: f64§gamma: f64§num_params: u8

Number of parameters

§config: SolverConfig

Solver configuration

§solver_state: SolverState

Solver state

Implementations§

impl SpsaOptimizer

pub fn new(num_params: u8, config: SolverConfig) -> Self

Create new SPSA optimizer

pub fn optimize<F>( &mut self, f: &F, initial_params: &[f64; 20], ) -> SolverResult<QuantumOptimizerState>
where F: SpsaCostFunction,

Optimize parameters using SPSA algorithm

pub fn get_parameters(&self) -> [f64; 20]

Get optimized parameters

pub fn get_gradient(&self) -> SpsaGradient

Get gradient information

Trait Implementations§

impl Default for SpsaOptimizer

fn default() -> Self

Returns the “default value” for a type. Read more

Auto Trait Implementations§

impl Freeze for SpsaOptimizer

impl RefUnwindSafe for SpsaOptimizer

impl Send for SpsaOptimizer

impl Sync for SpsaOptimizer

impl Unpin for SpsaOptimizer

impl UnsafeUnpin for SpsaOptimizer

impl UnwindSafe for SpsaOptimizer

Blanket Implementations§

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