quantrs2_sim/qaoa_optimization/
functions.rs

1//! Auto-generated module
2//!
3//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)
4
5use crate::error::Result;
6use scirs2_core::ndarray::{Array1, Array2};
7use scirs2_core::random::prelude::*;
8use std::collections::HashMap;
9use std::time::{Duration, Instant};
10
11use super::qaoaoptimizer_type::QAOAOptimizer;
12use super::types::{QAOAConfig, QAOAGraph, QAOAProblemType};
13
14/// Benchmark QAOA performance
15pub fn benchmark_qaoa() -> Result<HashMap<String, f64>> {
16    let mut results = HashMap::new();
17    let start = Instant::now();
18    let graph = QAOAGraph {
19        num_vertices: 4,
20        adjacency_matrix: Array2::from_shape_vec(
21            (4, 4),
22            vec![
23                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,
24            ],
25        )
26        .map_err(|e| {
27            crate::error::SimulatorError::InvalidInput(format!(
28                "Failed to create adjacency matrix: {}",
29                e
30            ))
31        })?,
32        vertex_weights: vec![1.0; 4],
33        edge_weights: HashMap::new(),
34        constraints: Vec::new(),
35    };
36    let config = QAOAConfig {
37        num_layers: 2,
38        max_iterations: 50,
39        ..Default::default()
40    };
41    let mut optimizer = QAOAOptimizer::new(config, graph, QAOAProblemType::MaxCut)?;
42    let _result = optimizer.optimize()?;
43    let maxcut_time = start.elapsed().as_millis() as f64;
44    results.insert("maxcut_qaoa_4_vertices".to_string(), maxcut_time);
45    Ok(results)
46}
47#[cfg(test)]
48mod tests {
49    use super::*;
50    #[test]
51    fn test_qaoa_optimizer_creation() {
52        let graph = QAOAGraph {
53            num_vertices: 3,
54            adjacency_matrix: Array2::zeros((3, 3)),
55            vertex_weights: vec![1.0; 3],
56            edge_weights: HashMap::new(),
57            constraints: Vec::new(),
58        };
59        let config = QAOAConfig::default();
60        let optimizer = QAOAOptimizer::new(config, graph, QAOAProblemType::MaxCut);
61        assert!(optimizer.is_ok());
62    }
63    #[test]
64    fn test_maxcut_cost_evaluation() {
65        let optimizer = create_test_optimizer();
66        let bits = [true, false, true, false];
67        let cost = optimizer
68            .evaluate_maxcut_cost(&bits)
69            .expect("MaxCut cost evaluation should succeed");
70        assert!(cost >= 0.0);
71    }
72    #[test]
73    fn test_parameter_initialization() {
74        let config = QAOAConfig {
75            num_layers: 3,
76            ..Default::default()
77        };
78        let graph = create_test_graph();
79        let gammas = QAOAOptimizer::initialize_gammas(&config, &graph)
80            .expect("Gamma initialization should succeed");
81        let betas = QAOAOptimizer::initialize_betas(&config, &graph)
82            .expect("Beta initialization should succeed");
83        assert_eq!(gammas.len(), 3);
84        assert_eq!(betas.len(), 3);
85    }
86    #[test]
87    fn test_constraint_checking() {
88        let optimizer = create_test_optimizer();
89        let solution = "1010";
90        let feasible = optimizer
91            .check_feasibility(solution)
92            .expect("Feasibility check should succeed");
93        assert!(feasible);
94    }
95    pub(super) fn create_test_optimizer() -> QAOAOptimizer {
96        let graph = create_test_graph();
97        let config = QAOAConfig::default();
98        QAOAOptimizer::new(config, graph, QAOAProblemType::MaxCut)
99            .expect("Test optimizer creation should succeed")
100    }
101    pub(super) fn create_test_graph() -> QAOAGraph {
102        QAOAGraph {
103            num_vertices: 4,
104            adjacency_matrix: Array2::eye(4),
105            vertex_weights: vec![1.0; 4],
106            edge_weights: HashMap::new(),
107            constraints: Vec::new(),
108        }
109    }
110}
quantrs2_sim/qaoa_optimization/functions.rs

quantrs2_sim/qaoa_optimization/
functions.rs
