quantrs2-sim 0.1.3

//! Auto-generated module
//!
//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)

use crate::error::Result;
use scirs2_core::ndarray::{Array1, Array2};
use scirs2_core::random::prelude::*;
use std::collections::HashMap;
use std::time::{Duration, Instant};

use super::qaoaoptimizer_type::QAOAOptimizer;
use super::types::{QAOAConfig, QAOAGraph, QAOAProblemType};

/// Benchmark QAOA performance
pub fn benchmark_qaoa() -> Result<HashMap<String, f64>> {
    let mut results = HashMap::new();
    let start = Instant::now();
    let graph = QAOAGraph {
        num_vertices: 4,
        adjacency_matrix: Array2::from_shape_vec(
            (4, 4),
            vec![
                0.0, 1.0, 1.0, 0.0, 1.0, 0.0, 1.0, 1.0, 1.0, 1.0, 0.0, 1.0, 0.0, 1.0, 1.0, 0.0,
            ],
        )
        .map_err(|e| {
            crate::error::SimulatorError::InvalidInput(format!(
                "Failed to create adjacency matrix: {}",
                e
            ))
        })?,
        vertex_weights: vec![1.0; 4],
        edge_weights: HashMap::new(),
        constraints: Vec::new(),
    };
    let config = QAOAConfig {
        num_layers: 2,
        max_iterations: 50,
        ..Default::default()
    };
    let mut optimizer = QAOAOptimizer::new(config, graph, QAOAProblemType::MaxCut)?;
    let _result = optimizer.optimize()?;
    let maxcut_time = start.elapsed().as_millis() as f64;
    results.insert("maxcut_qaoa_4_vertices".to_string(), maxcut_time);
    Ok(results)
}
#[cfg(test)]
mod tests {
    use super::*;
    #[test]
    fn test_qaoa_optimizer_creation() {
        let graph = QAOAGraph {
            num_vertices: 3,
            adjacency_matrix: Array2::zeros((3, 3)),
            vertex_weights: vec![1.0; 3],
            edge_weights: HashMap::new(),
            constraints: Vec::new(),
        };
        let config = QAOAConfig::default();
        let optimizer = QAOAOptimizer::new(config, graph, QAOAProblemType::MaxCut);
        assert!(optimizer.is_ok());
    }
    #[test]
    fn test_maxcut_cost_evaluation() {
        let optimizer = create_test_optimizer();
        let bits = [true, false, true, false];
        let cost = optimizer
            .evaluate_maxcut_cost(&bits)
            .expect("MaxCut cost evaluation should succeed");
        assert!(cost >= 0.0);
    }
    #[test]
    fn test_parameter_initialization() {
        let config = QAOAConfig {
            num_layers: 3,
            ..Default::default()
        };
        let graph = create_test_graph();
        let gammas = QAOAOptimizer::initialize_gammas(&config, &graph)
            .expect("Gamma initialization should succeed");
        let betas = QAOAOptimizer::initialize_betas(&config, &graph)
            .expect("Beta initialization should succeed");
        assert_eq!(gammas.len(), 3);
        assert_eq!(betas.len(), 3);
    }
    #[test]
    fn test_constraint_checking() {
        let optimizer = create_test_optimizer();
        let solution = "1010";
        let feasible = optimizer
            .check_feasibility(solution)
            .expect("Feasibility check should succeed");
        assert!(feasible);
    }
    pub(super) fn create_test_optimizer() -> QAOAOptimizer {
        let graph = create_test_graph();
        let config = QAOAConfig::default();
        QAOAOptimizer::new(config, graph, QAOAProblemType::MaxCut)
            .expect("Test optimizer creation should succeed")
    }
    pub(super) fn create_test_graph() -> QAOAGraph {
        QAOAGraph {
            num_vertices: 4,
            adjacency_matrix: Array2::eye(4),
            vertex_weights: vec![1.0; 4],
            edge_weights: HashMap::new(),
            constraints: Vec::new(),
        }
    }
}