quantrs2-device 0.1.3

//! SciRS2 optimization engine and algorithms

use std::collections::HashMap;
use std::sync::Arc;

use scirs2_core::ndarray::Array1;
use scirs2_graph::Graph;
use scirs2_optimize::OptimizeResult;

use super::config::SciRS2Config;
use super::types::{AdvancedOptimizationResult, LinalgOptimizationResult};
use crate::{DeviceError, DeviceResult};

/// SciRS2 optimization engine
pub struct SciRS2OptimizationEngine {
    /// Configuration
    pub config: SciRS2Config,
    /// Optimization cache
    pub optimization_cache: HashMap<String, AdvancedOptimizationResult>,
    /// Performance history
    pub performance_history: Vec<PerformanceRecord>,
}

impl SciRS2OptimizationEngine {
    /// Create new optimization engine
    pub fn new(config: &SciRS2Config) -> DeviceResult<Self> {
        Ok(Self {
            config: config.clone(),
            optimization_cache: HashMap::new(),
            performance_history: Vec::new(),
        })
    }

    /// Optimize circuit using SciRS2 algorithms
    pub async fn optimize_circuit_parameters<const N: usize>(
        &self,
        _circuit: &quantrs2_circuit::prelude::Circuit<N>,
        _objective_function: impl Fn(&Array1<f64>) -> f64,
        _initial_params: &Array1<f64>,
    ) -> DeviceResult<AdvancedOptimizationResult> {
        // Mock implementation for compilation
        Ok(AdvancedOptimizationResult {
            method: "SciRS2-NelderMead".to_string(),
            converged: true,
            objective_value: 0.95,
            iterations: 42,
            parameter_evolution: vec![Array1::zeros(4)],
            success: true,
            x: Array1::zeros(4),
            improvement: 0.15,
        })
    }

    /// Perform graph-based optimization
    pub async fn optimize_circuit_graph(
        &self,
        _graph: &Graph<usize, f64>,
    ) -> DeviceResult<GraphOptimizationResult> {
        // Mock implementation for compilation
        Ok(GraphOptimizationResult {
            original_metrics: GraphMetrics {
                density: 0.5,
                clustering_coefficient: 0.3,
                diameter: 5,
                centrality_distribution: vec![0.1, 0.2, 0.3],
            },
            optimized_metrics: GraphMetrics {
                density: 0.6,
                clustering_coefficient: 0.4,
                diameter: 4,
                centrality_distribution: vec![0.15, 0.25, 0.35],
            },
            transformations: vec![],
            routing_efficiency: 0.85,
            improvement_score: 0.15,
        })
    }

    /// Analyze statistical patterns
    pub async fn analyze_statistical_patterns(
        &self,
        _data: &[f64],
    ) -> DeviceResult<StatisticalAnalysisResult> {
        // Mock implementation for compilation
        Ok(StatisticalAnalysisResult {
            mean: 0.5,
            variance: 0.1,
            correlationmatrix: vec![vec![1.0]],
            significance_tests: HashMap::new(),
            anomaly_detection: Vec::new(),
            trend_analysis: TrendAnalysis {
                trend_direction: TrendDirection::Stable,
                slope: 0.0,
                r_squared: 0.9,
                confidence_interval: (0.4, 0.6),
            },
        })
    }

    /// Perform linear algebra optimization
    pub async fn optimize_linear_algebra(
        &self,
        _matrices: &[scirs2_core::ndarray::Array2<f64>],
    ) -> DeviceResult<LinalgOptimizationResult> {
        // Mock implementation for compilation
        Ok(LinalgOptimizationResult {
            decomposition_improvements: HashMap::new(),
            stability_metrics: super::types::NumericalStabilityMetrics {
                condition_number: 10.0,
                numerical_rank: 4,
                spectral_radius: 1.2,
            },
            eigenvalue_analysis: super::types::EigenvalueAnalysis {
                eigenvalue_distribution: vec![],
                spectral_gap: 0.1,
                entanglement_spectrum: vec![],
            },
        })
    }

    /// Analyze crosstalk statistics
    pub async fn analyze_crosstalk_statistics(
        &self,
        _crosstalk_model: &CrosstalkModel,
        _threshold: &f64,
    ) -> DeviceResult<CrosstalkAnalysisResult> {
        // Mock implementation for compilation
        Ok(CrosstalkAnalysisResult {
            significant_interactions: Vec::new(),
            interaction_matrix: scirs2_core::ndarray::Array2::zeros((4, 4)),
            mitigation_recommendations: Vec::new(),
            confidence_scores: HashMap::new(),
        })
    }

    /// Optimize global crosstalk mitigation
    pub async fn optimize_global_crosstalk_mitigation<const N: usize>(
        &self,
        _circuit: &quantrs2_circuit::prelude::Circuit<N>,
        _crosstalk_model: &CrosstalkModel,
    ) -> DeviceResult<GlobalMitigationStrategy> {
        // Mock implementation for compilation
        Ok(GlobalMitigationStrategy {
            strategy_type: MitigationStrategyType::Temporal,
            parameters: HashMap::new(),
            expected_improvement: 0.2,
            implementation_cost: 0.1,
        })
    }

    /// Generate optimization recommendations
    pub async fn generate_optimization_recommendations(
        &self,
        _analysis_results: &[StatisticalAnalysisResult],
    ) -> DeviceResult<Vec<String>> {
        // Mock implementation for compilation
        Ok(vec![
            "Increase gate parallelization".to_string(),
            "Optimize qubit routing".to_string(),
            "Apply dynamical decoupling".to_string(),
        ])
    }
}

/// Performance record for optimization history
#[derive(Debug, Clone)]
pub struct PerformanceRecord {
    /// Timestamp
    pub timestamp: std::time::SystemTime,
    /// Optimization method
    pub method: String,
    /// Performance metric
    pub performance: f64,
    /// Execution time
    pub execution_time: std::time::Duration,
}

/// Graph optimization result
#[derive(Debug, Clone)]
pub struct GraphOptimizationResult {
    /// Original graph metrics
    pub original_metrics: GraphMetrics,
    /// Optimized graph metrics
    pub optimized_metrics: GraphMetrics,
    /// Applied transformations
    pub transformations: Vec<GraphTransformation>,
    /// Routing efficiency
    pub routing_efficiency: f64,
    /// Overall improvement score
    pub improvement_score: f64,
}

/// Graph metrics
#[derive(Debug, Clone)]
pub struct GraphMetrics {
    /// Graph density
    pub density: f64,
    /// Clustering coefficient
    pub clustering_coefficient: f64,
    /// Graph diameter
    pub diameter: usize,
    /// Centrality distribution
    pub centrality_distribution: Vec<f64>,
}

/// Graph transformation types
#[derive(Debug, Clone)]
pub enum GraphTransformation {
    /// Node reordering
    NodeReordering(Vec<usize>),
    /// Edge weight optimization
    EdgeWeightOptimization(HashMap<(usize, usize), f64>),
    /// Subgraph extraction
    SubgraphExtraction(Vec<usize>),
    /// Custom transformation
    Custom(String),
}

/// Statistical analysis result
#[derive(Debug, Clone)]
pub struct StatisticalAnalysisResult {
    /// Mean value
    pub mean: f64,
    /// Variance
    pub variance: f64,
    /// Correlation matrix
    pub correlationmatrix: Vec<Vec<f64>>,
    /// Significance test results
    pub significance_tests: HashMap<String, f64>,
    /// Anomaly detection results
    pub anomaly_detection: Vec<super::types::PerformanceAnomaly>,
    /// Trend analysis
    pub trend_analysis: TrendAnalysis,
}

/// Trend analysis
#[derive(Debug, Clone)]
pub struct TrendAnalysis {
    /// Trend direction
    pub trend_direction: TrendDirection,
    /// Trend slope
    pub slope: f64,
    /// R-squared value
    pub r_squared: f64,
    /// Confidence interval
    pub confidence_interval: (f64, f64),
}

/// Trend direction
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum TrendDirection {
    Increasing,
    Decreasing,
    Stable,
    Volatile,
}

/// Crosstalk model
#[derive(Debug, Clone)]
pub struct CrosstalkModel {
    /// Interaction strengths
    pub interaction_strengths: HashMap<(usize, usize), f64>,
    /// Temporal correlations
    pub temporal_correlations: Vec<f64>,
    /// Spatial correlations
    pub spatial_correlations: scirs2_core::ndarray::Array2<f64>,
    /// Model parameters
    pub parameters: HashMap<String, f64>,
}

/// Crosstalk analysis result
#[derive(Debug, Clone)]
pub struct CrosstalkAnalysisResult {
    /// Significant interactions
    pub significant_interactions: Vec<(usize, usize)>,
    /// Interaction strength matrix
    pub interaction_matrix: scirs2_core::ndarray::Array2<f64>,
    /// Mitigation recommendations
    pub mitigation_recommendations: Vec<MitigationRecommendation>,
    /// Confidence scores
    pub confidence_scores: HashMap<(usize, usize), f64>,
}

/// Mitigation recommendation
#[derive(Debug, Clone)]
pub struct MitigationRecommendation {
    /// Recommendation type
    pub recommendation_type: MitigationStrategyType,
    /// Target qubits
    pub target_qubits: Vec<usize>,
    /// Expected improvement
    pub expected_improvement: f64,
    /// Implementation difficulty
    pub difficulty: MitigationDifficulty,
}

/// Global mitigation strategy
#[derive(Debug, Clone)]
pub struct GlobalMitigationStrategy {
    /// Strategy type
    pub strategy_type: MitigationStrategyType,
    /// Strategy parameters
    pub parameters: HashMap<String, f64>,
    /// Expected improvement
    pub expected_improvement: f64,
    /// Implementation cost
    pub implementation_cost: f64,
}

/// Mitigation strategy types
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum MitigationStrategyType {
    Temporal,
    Spatial,
    Active,
    Passive,
    Hybrid,
}

/// Mitigation difficulty levels
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum MitigationDifficulty {
    Easy,
    Moderate,
    Hard,
    Expert,
}

/// Advanced crosstalk mitigation strategies
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum AdvancedCrosstalkMitigation {
    TemporalSeparation,
    SpatialRerouting,
    DynamicalDecoupling,
    ActiveCancellation,
    ErrorSuppression,
}

/// Crosstalk conflict information
#[derive(Debug, Clone)]
pub struct CrosstalkConflict {
    /// Conflicting qubits
    pub qubits: Vec<usize>,
    /// Conflict strength
    pub strength: f64,
    /// Timing overlap
    pub timing_overlap: std::time::Duration,
    /// Conflict type
    pub conflict_type: ConflictType,
}

/// Conflict types
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum ConflictType {
    Direct,
    Indirect,
    Temporal,
    Spectral,
}