quantrs2_device/compiler_passes/
optimization.rs

1//! SciRS2 optimization engine and algorithms
2
3use std::collections::HashMap;
4use std::sync::Arc;
5
6use scirs2_core::ndarray::Array1;
7use scirs2_graph::Graph;
8use scirs2_optimize::OptimizeResult;
9
10use super::config::SciRS2Config;
11use super::types::{AdvancedOptimizationResult, LinalgOptimizationResult};
12use crate::{DeviceError, DeviceResult};
13
14/// SciRS2 optimization engine
15pub struct SciRS2OptimizationEngine {
16    /// Configuration
17    pub config: SciRS2Config,
18    /// Optimization cache
19    pub optimization_cache: HashMap<String, AdvancedOptimizationResult>,
20    /// Performance history
21    pub performance_history: Vec<PerformanceRecord>,
22}
23
24impl SciRS2OptimizationEngine {
25    /// Create new optimization engine
26    pub fn new(config: &SciRS2Config) -> DeviceResult<Self> {
27        Ok(Self {
28            config: config.clone(),
29            optimization_cache: HashMap::new(),
30            performance_history: Vec::new(),
31        })
32    }
33
34    /// Optimize circuit using SciRS2 algorithms
35    pub async fn optimize_circuit_parameters<const N: usize>(
36        &self,
37        _circuit: &quantrs2_circuit::prelude::Circuit<N>,
38        _objective_function: impl Fn(&Array1<f64>) -> f64,
39        _initial_params: &Array1<f64>,
40    ) -> DeviceResult<AdvancedOptimizationResult> {
41        // Mock implementation for compilation
42        Ok(AdvancedOptimizationResult {
43            method: "SciRS2-NelderMead".to_string(),
44            converged: true,
45            objective_value: 0.95,
46            iterations: 42,
47            parameter_evolution: vec![Array1::zeros(4)],
48            success: true,
49            x: Array1::zeros(4),
50            improvement: 0.15,
51        })
52    }
53
54    /// Perform graph-based optimization
55    pub async fn optimize_circuit_graph(
56        &self,
57        _graph: &Graph<usize, f64>,
58    ) -> DeviceResult<GraphOptimizationResult> {
59        // Mock implementation for compilation
60        Ok(GraphOptimizationResult {
61            original_metrics: GraphMetrics {
62                density: 0.5,
63                clustering_coefficient: 0.3,
64                diameter: 5,
65                centrality_distribution: vec![0.1, 0.2, 0.3],
66            },
67            optimized_metrics: GraphMetrics {
68                density: 0.6,
69                clustering_coefficient: 0.4,
70                diameter: 4,
71                centrality_distribution: vec![0.15, 0.25, 0.35],
72            },
73            transformations: vec![],
74            routing_efficiency: 0.85,
75            improvement_score: 0.15,
76        })
77    }
78
79    /// Analyze statistical patterns
80    pub async fn analyze_statistical_patterns(
81        &self,
82        _data: &[f64],
83    ) -> DeviceResult<StatisticalAnalysisResult> {
84        // Mock implementation for compilation
85        Ok(StatisticalAnalysisResult {
86            mean: 0.5,
87            variance: 0.1,
88            correlationmatrix: vec![vec![1.0]],
89            significance_tests: HashMap::new(),
90            anomaly_detection: Vec::new(),
91            trend_analysis: TrendAnalysis {
92                trend_direction: TrendDirection::Stable,
93                slope: 0.0,
94                r_squared: 0.9,
95                confidence_interval: (0.4, 0.6),
96            },
97        })
98    }
99
100    /// Perform linear algebra optimization
101    pub async fn optimize_linear_algebra(
102        &self,
103        _matrices: &[scirs2_core::ndarray::Array2<f64>],
104    ) -> DeviceResult<LinalgOptimizationResult> {
105        // Mock implementation for compilation
106        Ok(LinalgOptimizationResult {
107            decomposition_improvements: HashMap::new(),
108            stability_metrics: super::types::NumericalStabilityMetrics {
109                condition_number: 10.0,
110                numerical_rank: 4,
111                spectral_radius: 1.2,
112            },
113            eigenvalue_analysis: super::types::EigenvalueAnalysis {
114                eigenvalue_distribution: vec![],
115                spectral_gap: 0.1,
116                entanglement_spectrum: vec![],
117            },
118        })
119    }
120
121    /// Analyze crosstalk statistics
122    pub async fn analyze_crosstalk_statistics(
123        &self,
124        _crosstalk_model: &CrosstalkModel,
125        _threshold: &f64,
126    ) -> DeviceResult<CrosstalkAnalysisResult> {
127        // Mock implementation for compilation
128        Ok(CrosstalkAnalysisResult {
129            significant_interactions: Vec::new(),
130            interaction_matrix: scirs2_core::ndarray::Array2::zeros((4, 4)),
131            mitigation_recommendations: Vec::new(),
132            confidence_scores: HashMap::new(),
133        })
134    }
135
136    /// Optimize global crosstalk mitigation
137    pub async fn optimize_global_crosstalk_mitigation<const N: usize>(
138        &self,
139        _circuit: &quantrs2_circuit::prelude::Circuit<N>,
140        _crosstalk_model: &CrosstalkModel,
141    ) -> DeviceResult<GlobalMitigationStrategy> {
142        // Mock implementation for compilation
143        Ok(GlobalMitigationStrategy {
144            strategy_type: MitigationStrategyType::Temporal,
145            parameters: HashMap::new(),
146            expected_improvement: 0.2,
147            implementation_cost: 0.1,
148        })
149    }
150
151    /// Generate optimization recommendations
152    pub async fn generate_optimization_recommendations(
153        &self,
154        _analysis_results: &[StatisticalAnalysisResult],
155    ) -> DeviceResult<Vec<String>> {
156        // Mock implementation for compilation
157        Ok(vec![
158            "Increase gate parallelization".to_string(),
159            "Optimize qubit routing".to_string(),
160            "Apply dynamical decoupling".to_string(),
161        ])
162    }
163}
164
165/// Performance record for optimization history
166#[derive(Debug, Clone)]
167pub struct PerformanceRecord {
168    /// Timestamp
169    pub timestamp: std::time::SystemTime,
170    /// Optimization method
171    pub method: String,
172    /// Performance metric
173    pub performance: f64,
174    /// Execution time
175    pub execution_time: std::time::Duration,
176}
177
178/// Graph optimization result
179#[derive(Debug, Clone)]
180pub struct GraphOptimizationResult {
181    /// Original graph metrics
182    pub original_metrics: GraphMetrics,
183    /// Optimized graph metrics
184    pub optimized_metrics: GraphMetrics,
185    /// Applied transformations
186    pub transformations: Vec<GraphTransformation>,
187    /// Routing efficiency
188    pub routing_efficiency: f64,
189    /// Overall improvement score
190    pub improvement_score: f64,
191}
192
193/// Graph metrics
194#[derive(Debug, Clone)]
195pub struct GraphMetrics {
196    /// Graph density
197    pub density: f64,
198    /// Clustering coefficient
199    pub clustering_coefficient: f64,
200    /// Graph diameter
201    pub diameter: usize,
202    /// Centrality distribution
203    pub centrality_distribution: Vec<f64>,
204}
205
206/// Graph transformation types
207#[derive(Debug, Clone)]
208pub enum GraphTransformation {
209    /// Node reordering
210    NodeReordering(Vec<usize>),
211    /// Edge weight optimization
212    EdgeWeightOptimization(HashMap<(usize, usize), f64>),
213    /// Subgraph extraction
214    SubgraphExtraction(Vec<usize>),
215    /// Custom transformation
216    Custom(String),
217}
218
219/// Statistical analysis result
220#[derive(Debug, Clone)]
221pub struct StatisticalAnalysisResult {
222    /// Mean value
223    pub mean: f64,
224    /// Variance
225    pub variance: f64,
226    /// Correlation matrix
227    pub correlationmatrix: Vec<Vec<f64>>,
228    /// Significance test results
229    pub significance_tests: HashMap<String, f64>,
230    /// Anomaly detection results
231    pub anomaly_detection: Vec<super::types::PerformanceAnomaly>,
232    /// Trend analysis
233    pub trend_analysis: TrendAnalysis,
234}
235
236/// Trend analysis
237#[derive(Debug, Clone)]
238pub struct TrendAnalysis {
239    /// Trend direction
240    pub trend_direction: TrendDirection,
241    /// Trend slope
242    pub slope: f64,
243    /// R-squared value
244    pub r_squared: f64,
245    /// Confidence interval
246    pub confidence_interval: (f64, f64),
247}
248
249/// Trend direction
250#[derive(Debug, Clone, PartialEq)]
251pub enum TrendDirection {
252    Increasing,
253    Decreasing,
254    Stable,
255    Volatile,
256}
257
258/// Crosstalk model
259#[derive(Debug, Clone)]
260pub struct CrosstalkModel {
261    /// Interaction strengths
262    pub interaction_strengths: HashMap<(usize, usize), f64>,
263    /// Temporal correlations
264    pub temporal_correlations: Vec<f64>,
265    /// Spatial correlations
266    pub spatial_correlations: scirs2_core::ndarray::Array2<f64>,
267    /// Model parameters
268    pub parameters: HashMap<String, f64>,
269}
270
271/// Crosstalk analysis result
272#[derive(Debug, Clone)]
273pub struct CrosstalkAnalysisResult {
274    /// Significant interactions
275    pub significant_interactions: Vec<(usize, usize)>,
276    /// Interaction strength matrix
277    pub interaction_matrix: scirs2_core::ndarray::Array2<f64>,
278    /// Mitigation recommendations
279    pub mitigation_recommendations: Vec<MitigationRecommendation>,
280    /// Confidence scores
281    pub confidence_scores: HashMap<(usize, usize), f64>,
282}
283
284/// Mitigation recommendation
285#[derive(Debug, Clone)]
286pub struct MitigationRecommendation {
287    /// Recommendation type
288    pub recommendation_type: MitigationStrategyType,
289    /// Target qubits
290    pub target_qubits: Vec<usize>,
291    /// Expected improvement
292    pub expected_improvement: f64,
293    /// Implementation difficulty
294    pub difficulty: MitigationDifficulty,
295}
296
297/// Global mitigation strategy
298#[derive(Debug, Clone)]
299pub struct GlobalMitigationStrategy {
300    /// Strategy type
301    pub strategy_type: MitigationStrategyType,
302    /// Strategy parameters
303    pub parameters: HashMap<String, f64>,
304    /// Expected improvement
305    pub expected_improvement: f64,
306    /// Implementation cost
307    pub implementation_cost: f64,
308}
309
310/// Mitigation strategy types
311#[derive(Debug, Clone, PartialEq)]
312pub enum MitigationStrategyType {
313    Temporal,
314    Spatial,
315    Active,
316    Passive,
317    Hybrid,
318}
319
320/// Mitigation difficulty levels
321#[derive(Debug, Clone, PartialEq)]
322pub enum MitigationDifficulty {
323    Easy,
324    Moderate,
325    Hard,
326    Expert,
327}
328
329/// Advanced crosstalk mitigation strategies
330#[derive(Debug, Clone, PartialEq)]
331pub enum AdvancedCrosstalkMitigation {
332    TemporalSeparation,
333    SpatialRerouting,
334    DynamicalDecoupling,
335    ActiveCancellation,
336    ErrorSuppression,
337}
338
339/// Crosstalk conflict information
340#[derive(Debug, Clone)]
341pub struct CrosstalkConflict {
342    /// Conflicting qubits
343    pub qubits: Vec<usize>,
344    /// Conflict strength
345    pub strength: f64,
346    /// Timing overlap
347    pub timing_overlap: std::time::Duration,
348    /// Conflict type
349    pub conflict_type: ConflictType,
350}
351
352/// Conflict types
353#[derive(Debug, Clone, PartialEq)]
354pub enum ConflictType {
355    Direct,
356    Indirect,
357    Temporal,
358    Spectral,
359}
quantrs2_device/compiler_passes/optimization.rs

quantrs2_device/compiler_passes/
optimization.rs
