quantrs2-device 0.1.3

//! Adaptive QEC Methods, ML Integration, and Real-time Optimization

use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::time::Duration;

/// Adaptive QEC configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AdaptiveQECConfig {
    /// Enable real-time adaptation
    pub enable_real_time_adaptation: bool,
    /// Adaptation window
    pub adaptation_window: std::time::Duration,
    /// Performance threshold
    pub performance_threshold: f64,
    /// Enable threshold adaptation
    pub enable_threshold_adaptation: bool,
    /// Enable strategy switching
    pub enable_strategy_switching: bool,
    /// Learning rate
    pub learning_rate: f64,
    /// Enable adaptive QEC
    pub enable_adaptive: bool,
    /// Adaptation strategies
    pub strategies: Vec<AdaptationStrategy>,
    /// Learning configuration
    pub learning: AdaptiveLearningConfig,
    /// Real-time optimization
    pub realtime_optimization: RealtimeOptimizationConfig,
    /// Feedback control
    pub feedback_control: FeedbackControlConfig,
    /// Prediction configuration
    pub prediction: PredictionConfig,
    /// Optimization configuration
    pub optimization: OptimizationConfig,
}

/// Adaptation strategies for QEC
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum AdaptationStrategy {
    ErrorRateBased,
    PerformanceBased,
    ResourceBased,
    MLBased,
    HybridAdaptation,
    PredictiveAdaptation,
}

/// Adaptive learning configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AdaptiveLearningConfig {
    /// Learning algorithms
    pub algorithms: Vec<LearningAlgorithm>,
    /// Online learning
    pub online_learning: OnlineLearningConfig,
    /// Transfer learning
    pub transfer_learning: TransferLearningConfig,
    /// Meta-learning
    pub meta_learning: MetaLearningConfig,
}

/// Learning algorithms for adaptive QEC
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum LearningAlgorithm {
    ReinforcementLearning,
    SupervisedLearning,
    UnsupervisedLearning,
    SemiSupervisedLearning,
    FederatedLearning,
    ContinualLearning,
}

/// Online learning configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OnlineLearningConfig {
    /// Enable online learning
    pub enable_online: bool,
    /// Learning rate adaptation
    pub learning_rate_adaptation: LearningRateAdaptation,
    /// Concept drift detection
    pub concept_drift: ConceptDriftConfig,
    /// Model updates
    pub model_updates: ModelUpdateConfig,
}

/// Learning rate adaptation strategies
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum LearningRateAdaptation {
    Fixed,
    Exponential,
    Polynomial,
    Adaptive,
    PerformanceBased,
}

/// Concept drift detection configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ConceptDriftConfig {
    /// Enable drift detection
    pub enable_detection: bool,
    /// Detection methods
    pub methods: Vec<DriftDetectionMethod>,
    /// Response strategies
    pub responses: Vec<DriftResponse>,
}

/// Drift detection methods
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum DriftDetectionMethod {
    StatisticalTest,
    PerformanceMonitoring,
    DistributionChange,
    ModelPerformance,
}

/// Responses to concept drift
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum DriftResponse {
    Retrain,
    Adapt,
    Reset,
    EnsembleUpdate,
}

/// Model update configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ModelUpdateConfig {
    /// Update frequency
    pub frequency: UpdateFrequency,
    /// Update triggers
    pub triggers: Vec<UpdateTrigger>,
    /// Update strategies
    pub strategies: Vec<UpdateStrategy>,
}

/// Update frequency options
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum UpdateFrequency {
    Continuous,
    Periodic(Duration),
    EventTriggered,
    Adaptive,
}

/// Update triggers
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum UpdateTrigger {
    PerformanceDegradation,
    NewData,
    EnvironmentChange,
    UserRequest,
}

/// Update strategies
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum UpdateStrategy {
    FullRetrain,
    IncrementalUpdate,
    EnsembleUpdate,
    ParameterUpdate,
}

/// Transfer learning configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TransferLearningConfig {
    /// Enable transfer learning
    pub enable_transfer: bool,
    /// Source domains
    pub source_domains: Vec<SourceDomain>,
    /// Transfer strategies
    pub strategies: Vec<TransferStrategy>,
    /// Domain adaptation
    pub domain_adaptation: DomainAdaptationConfig,
}

/// Source domain definition
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SourceDomain {
    /// Domain identifier
    pub id: String,
    /// Domain characteristics
    pub characteristics: HashMap<String, f64>,
    /// Similarity metrics
    pub similarity: SimilarityMetrics,
}

/// Similarity metrics for domains
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SimilarityMetrics {
    /// Statistical similarity
    pub statistical: f64,
    /// Structural similarity
    pub structural: f64,
    /// Performance similarity
    pub performance: f64,
}

/// Transfer learning strategies
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum TransferStrategy {
    FeatureTransfer,
    ParameterTransfer,
    ModelTransfer,
    KnowledgeDistillation,
}

/// Domain adaptation configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DomainAdaptationConfig {
    /// Adaptation methods
    pub methods: Vec<AdaptationMethod>,
    /// Validation strategies
    pub validation: Vec<ValidationStrategy>,
}

/// Domain adaptation methods
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum AdaptationMethod {
    FeatureAlignment,
    DistributionMatching,
    AdversarialTraining,
    CorrectionModels,
}

/// Validation strategies for domain adaptation
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum ValidationStrategy {
    CrossDomainValidation,
    TargetValidation,
    UnsupervisedMetrics,
}

/// Meta-learning configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MetaLearningConfig {
    /// Enable meta-learning
    pub enable_meta: bool,
    /// Meta-learning algorithms
    pub algorithms: Vec<MetaLearningAlgorithm>,
    /// Task distribution
    pub task_distribution: TaskDistributionConfig,
    /// Meta-optimization
    pub meta_optimization: MetaOptimizationConfig,
}

/// Meta-learning algorithms
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum MetaLearningAlgorithm {
    MAML,
    Reptile,
    ProtoNet,
    RelationNet,
    MatchingNet,
}

/// Task distribution configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TaskDistributionConfig {
    /// Task types
    pub task_types: Vec<String>,
    /// Task complexity
    pub complexity_range: (f64, f64),
    /// Task generation
    pub generation_strategy: TaskGenerationStrategy,
}

/// Task generation strategies
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum TaskGenerationStrategy {
    Random,
    Curriculum,
    Adaptive,
    HumanDesigned,
}

/// Meta-optimization configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MetaOptimizationConfig {
    /// Meta-optimizer
    pub optimizer: MetaOptimizer,
    /// Learning rates
    pub learning_rates: LearningRates,
    /// Regularization
    pub regularization: MetaRegularization,
}

/// Meta-optimizers
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum MetaOptimizer {
    SGD,
    Adam,
    RMSprop,
    AdaGrad,
}

/// Learning rates for meta-learning
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct LearningRates {
    /// Inner loop learning rate
    pub inner_lr: f64,
    /// Outer loop learning rate
    pub outer_lr: f64,
    /// Adaptive learning rates
    pub adaptive: bool,
}

/// Meta-regularization configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MetaRegularization {
    /// Regularization type
    pub regularization_type: RegularizationType,
    /// Regularization strength
    pub strength: f64,
}

/// Types of regularization
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum RegularizationType {
    L1,
    L2,
    Dropout,
    BatchNorm,
    None,
}

/// Real-time optimization configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct RealtimeOptimizationConfig {
    /// Enable real-time optimization
    pub enable_realtime: bool,
    /// Optimization objectives
    pub objectives: Vec<OptimizationObjective>,
    /// Optimization algorithms
    pub algorithms: Vec<RealtimeAlgorithm>,
    /// Resource constraints
    pub constraints: ResourceConstraints,
}

/// Optimization objectives
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum OptimizationObjective {
    MinimizeErrorRate,
    MaximizeFidelity,
    MinimizeLatency,
    MaximizeThroughput,
    MinimizeResourceUsage,
    BalancedObjective,
}

/// Real-time optimization algorithms
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum RealtimeAlgorithm {
    OnlineGradientDescent,
    AdaptiveMomentum,
    ParticleSwarm,
    GeneticAlgorithm,
    BayesianOptimization,
    ModelPredictiveControl,
}

/// Resource constraints for real-time optimization
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ResourceConstraints {
    /// Computation time limit
    pub time_limit: Duration,
    /// Memory limit
    pub memory_limit: usize,
    /// Power budget
    pub power_budget: f64,
    /// Hardware constraints
    pub hardware_constraints: HardwareConstraints,
}

/// Hardware constraints
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct HardwareConstraints {
    /// Qubit connectivity
    pub connectivity: ConnectivityConstraints,
    /// Gate fidelities
    pub gate_fidelities: HashMap<String, f64>,
    /// Coherence times
    pub coherence_times: CoherenceTimes,
}

/// Connectivity constraints
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ConnectivityConstraints {
    /// Coupling map
    pub coupling_map: Vec<(usize, usize)>,
    /// Maximum distance
    pub max_distance: usize,
    /// Routing overhead
    pub routing_overhead: f64,
}

/// Coherence times
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CoherenceTimes {
    /// T1 times
    pub t1_times: HashMap<usize, f64>,
    /// T2 times
    pub t2_times: HashMap<usize, f64>,
    /// Gate times
    pub gate_times: HashMap<String, f64>,
}

/// Feedback control configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct FeedbackControlConfig {
    /// Enable feedback control
    pub enable_feedback: bool,
    /// Control algorithms
    pub algorithms: Vec<ControlAlgorithm>,
    /// Sensor configuration
    pub sensors: SensorConfig,
    /// Actuator configuration
    pub actuators: ActuatorConfig,
}

/// Control algorithms for feedback
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum ControlAlgorithm {
    PID,
    LQR,
    MPC,
    AdaptiveControl,
    RobustControl,
    NeuralControl,
}

/// Sensor configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SensorConfig {
    /// Sensor types
    pub sensor_types: Vec<SensorType>,
    /// Sampling rates
    pub sampling_rates: HashMap<String, f64>,
    /// Noise characteristics
    pub noise_characteristics: NoiseCharacteristics,
}

/// Types of sensors
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum SensorType {
    PerformanceMonitor,
    ErrorRateMonitor,
    TemperatureSensor,
    VibrationseSensor,
    CustomSensor(String),
}

/// Noise characteristics of sensors
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct NoiseCharacteristics {
    /// Gaussian noise
    pub gaussian_noise: f64,
    /// Systematic bias
    pub systematic_bias: f64,
    /// Temporal correlation
    pub temporal_correlation: f64,
}

/// Actuator configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ActuatorConfig {
    /// Actuator types
    pub actuator_types: Vec<ActuatorType>,
    /// Response times
    pub response_times: HashMap<String, Duration>,
    /// Control ranges
    pub control_ranges: HashMap<String, (f64, f64)>,
}

/// Types of actuators
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum ActuatorType {
    PulseController,
    FrequencyController,
    PhaseController,
    AmplitudeController,
    CustomActuator(String),
}

/// QEC optimization configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct QECOptimizationConfig {
    /// Enable optimization
    pub enable_optimization: bool,
    /// Enable code optimization
    pub enable_code_optimization: bool,
    /// Enable layout optimization
    pub enable_layout_optimization: bool,
    /// Enable scheduling optimization
    pub enable_scheduling_optimization: bool,
    /// Optimization algorithm
    pub optimization_algorithm: crate::unified_benchmarking::config::OptimizationAlgorithm,
    /// Optimization objectives
    pub optimization_objectives: Vec<crate::unified_benchmarking::config::OptimizationObjective>,
    /// Constraint satisfaction configuration
    pub constraint_satisfaction: ConstraintSatisfactionConfig,
    /// Optimization targets
    pub targets: Vec<OptimizationTarget>,
    /// Performance metrics
    pub metrics: Vec<PerformanceMetric>,
    /// Optimization strategies
    pub strategies: Vec<OptimizationStrategy>,
}

/// Constraint satisfaction configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ConstraintSatisfactionConfig {
    /// Hardware constraints
    pub hardware_constraints: Vec<HardwareConstraint>,
    /// Resource constraints
    pub resource_constraints: Vec<ResourceConstraint>,
    /// Performance constraints
    pub performance_constraints: Vec<PerformanceConstraint>,
}

/// Hardware constraint types
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum HardwareConstraint {
    ConnectivityGraph,
    GateTimes,
    ErrorRates,
}

/// Resource constraint types
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum ResourceConstraint {
    QubitCount,
    CircuitDepth,
    ExecutionTime,
}

/// Performance constraint types
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum PerformanceConstraint {
    LogicalErrorRate,
    ThroughputTarget,
}

/// Optimization targets
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum OptimizationTarget {
    ErrorCorrection,
    ResourceEfficiency,
    Latency,
    Throughput,
    EnergyConsumption,
    FaultTolerance,
}

/// Performance metrics for QEC
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum PerformanceMetric {
    LogicalErrorRate,
    DecodingLatency,
    SyndromeAccuracy,
    CorrectionSuccess,
    ResourceUtilization,
    ThroughputRate,
}

/// Optimization strategies
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum OptimizationStrategy {
    HeuristicOptimization,
    ExactOptimization,
    ApproximateOptimization,
    MachineLearningOptimization,
    HybridOptimization,
}

/// QEC machine learning configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct QECMLConfig {
    /// Model type
    pub model_type: crate::unified_benchmarking::config::MLModelType,
    /// Training data size
    pub training_data_size: usize,
    /// Validation split ratio
    pub validation_split: f64,
    /// Enable online learning
    pub enable_online_learning: bool,
    /// Feature extraction configuration
    pub feature_extraction: crate::ml_optimization::FeatureExtractionConfig,
    /// Model update frequency
    pub model_update_frequency: std::time::Duration,
    /// Enable ML for QEC
    pub enable_ml: bool,
    /// ML models
    pub models: Vec<MLModel>,
    /// Training configuration
    pub training: MLTrainingConfig,
    /// Inference configuration
    pub inference: MLInferenceConfig,
    /// Model management
    pub model_management: ModelManagementConfig,
}

/// ML models for QEC
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum MLModel {
    NeuralNetwork,
    ConvolutionalNN,
    RecurrentNN,
    Transformer,
    RandomForest,
    SupportVectorMachine,
    GaussianProcess,
    EnsembleModel,
}

/// ML training configuration for QEC
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MLTrainingConfig {
    /// Training data
    pub data: TrainingDataConfig,
    /// Model architecture
    pub architecture: ModelArchitectureConfig,
    /// Training parameters
    pub parameters: TrainingParameters,
    /// Validation
    pub validation: ValidationConfig,
}

/// Training data configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TrainingDataConfig {
    /// Data sources
    pub sources: Vec<DataSource>,
    /// Data preprocessing
    pub preprocessing: DataPreprocessingConfig,
    /// Data augmentation
    pub augmentation: DataAugmentationConfig,
}

/// Data sources for ML training
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum DataSource {
    HistoricalData,
    SimulatedData,
    RealTimeData,
    SyntheticData,
    ExternalData,
}

/// Data preprocessing configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DataPreprocessingConfig {
    /// Normalization
    pub normalization: NormalizationMethod,
    /// Feature selection
    pub feature_selection: FeatureSelectionMethod,
    /// Dimensionality reduction
    pub dimensionality_reduction: DimensionalityReductionMethod,
}

/// Normalization methods
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum NormalizationMethod {
    MinMax,
    ZScore,
    Robust,
    None,
}

/// Feature selection methods
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum FeatureSelectionMethod {
    Statistical,
    ModelBased,
    Wrapper,
    Embedded,
}

/// Dimensionality reduction methods
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum DimensionalityReductionMethod {
    PCA,
    LDA,
    TSNE,
    UMAP,
    None,
}

/// Data augmentation configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DataAugmentationConfig {
    /// Enable augmentation
    pub enable: bool,
    /// Augmentation techniques
    pub techniques: Vec<AugmentationTechnique>,
    /// Augmentation ratio
    pub ratio: f64,
}

/// Data augmentation techniques
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum AugmentationTechnique {
    NoiseInjection,
    Rotation,
    Scaling,
    Cropping,
    Synthesis,
}

/// Model architecture configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ModelArchitectureConfig {
    /// Architecture type
    pub architecture_type: ArchitectureType,
    /// Layer configuration
    pub layers: Vec<LayerConfig>,
    /// Connection patterns
    pub connections: ConnectionPattern,
}

/// Architecture types
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum ArchitectureType {
    Sequential,
    Residual,
    DenseNet,
    Attention,
    Custom,
}

/// Layer configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct LayerConfig {
    /// Layer type
    pub layer_type: LayerType,
    /// Layer parameters
    pub parameters: HashMap<String, f64>,
    /// Activation function
    pub activation: ActivationFunction,
}

/// Layer types
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum LayerType {
    Dense,
    Convolutional,
    Recurrent,
    Attention,
    Normalization,
    Dropout,
}

/// Activation functions
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum ActivationFunction {
    ReLU,
    Sigmoid,
    Tanh,
    Softmax,
    LeakyReLU,
    ELU,
}

/// Connection patterns in neural networks
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum ConnectionPattern {
    FullyConnected,
    Sparse,
    Skip,
    Residual,
    Dense,
}

/// Training parameters
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TrainingParameters {
    /// Learning rate
    pub learning_rate: f64,
    /// Batch size
    pub batch_size: usize,
    /// Number of epochs
    pub epochs: usize,
    /// Optimizer
    pub optimizer: OptimizerType,
    /// Loss function
    pub loss_function: LossFunction,
}

/// Optimizer types
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum OptimizerType {
    SGD,
    Adam,
    RMSprop,
    AdaGrad,
    AdaDelta,
}

/// Loss functions
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum LossFunction {
    MeanSquaredError,
    CrossEntropy,
    BinaryCrossEntropy,
    HuberLoss,
    Custom(String),
}

/// Validation configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ValidationConfig {
    /// Validation method
    pub method: ValidationMethod,
    /// Validation split
    pub split: f64,
    /// Cross-validation folds
    pub cv_folds: usize,
}

/// Validation methods
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum ValidationMethod {
    HoldOut,
    CrossValidation,
    Bootstrap,
    TimeSeriesSplit,
}

/// ML inference configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MLInferenceConfig {
    /// Inference mode
    pub mode: InferenceMode,
    /// Batch processing
    pub batch_processing: BatchProcessingConfig,
    /// Performance optimization
    pub optimization: InferenceOptimizationConfig,
}

/// Inference modes
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum InferenceMode {
    Synchronous,
    Asynchronous,
    Batch,
    Streaming,
}

/// Batch processing configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BatchProcessingConfig {
    /// Enable batch processing
    pub enable: bool,
    /// Batch size
    pub batch_size: usize,
    /// Timeout
    pub timeout: Duration,
}

/// Inference optimization configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct InferenceOptimizationConfig {
    /// Model optimization
    pub model_optimization: ModelOptimization,
    /// Hardware acceleration
    pub hardware_acceleration: HardwareAcceleration,
    /// Caching
    pub caching: InferenceCaching,
}

/// Model optimization techniques
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum ModelOptimization {
    Quantization,
    Pruning,
    Distillation,
    Compilation,
    None,
}

/// Hardware acceleration options
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum HardwareAcceleration {
    GPU,
    TPU,
    FPGA,
    CPU,
    Custom,
}

/// Inference caching configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct InferenceCaching {
    /// Enable caching
    pub enable: bool,
    /// Cache size
    pub cache_size: usize,
    /// Eviction policy
    pub eviction_policy: CacheEvictionPolicy,
}

/// Cache eviction policies
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum CacheEvictionPolicy {
    LRU,
    LFU,
    FIFO,
    Random,
}

/// Model management configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ModelManagementConfig {
    /// Model versioning
    pub versioning: ModelVersioning,
    /// Model deployment
    pub deployment: ModelDeployment,
    /// Model monitoring
    pub monitoring: ModelMonitoring,
}

/// Model versioning configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ModelVersioning {
    /// Enable versioning
    pub enable: bool,
    /// Version control system
    pub version_control: VersionControlSystem,
    /// Rollback strategy
    pub rollback: RollbackStrategy,
}

/// Version control systems
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum VersionControlSystem {
    Git,
    MLflow,
    DVC,
    Custom,
}

/// Rollback strategies
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum RollbackStrategy {
    Automatic,
    Manual,
    PerformanceBased,
    TimeBased,
}

/// Model deployment configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ModelDeployment {
    /// Deployment strategy
    pub strategy: DeploymentStrategy,
    /// Environment configuration
    pub environment: EnvironmentConfig,
    /// Scaling configuration
    pub scaling: ScalingConfig,
}

/// Deployment strategies
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum DeploymentStrategy {
    BlueGreen,
    Canary,
    RollingUpdate,
    Shadow,
}

/// Environment configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EnvironmentConfig {
    /// Environment type
    pub environment_type: EnvironmentType,
    /// Resource allocation
    pub resources: ResourceAllocation,
    /// Dependencies
    pub dependencies: Vec<String>,
}

/// Environment types
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum EnvironmentType {
    Development,
    Staging,
    Production,
    Testing,
}

/// Resource allocation for deployment
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ResourceAllocation {
    /// CPU allocation
    pub cpu: f64,
    /// Memory allocation
    pub memory: usize,
    /// GPU allocation
    pub gpu: Option<usize>,
}

/// Scaling configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ScalingConfig {
    /// Auto-scaling
    pub auto_scaling: bool,
    /// Minimum replicas
    pub min_replicas: usize,
    /// Maximum replicas
    pub max_replicas: usize,
    /// Scaling metrics
    pub metrics: Vec<ScalingMetric>,
}

/// Scaling metrics
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum ScalingMetric {
    CpuUtilization,
    MemoryUtilization,
    RequestRate,
    ResponseTime,
    Custom(String),
}

/// Model monitoring configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ModelMonitoring {
    /// Performance monitoring
    pub performance: PerformanceMonitoring,
    /// Drift detection
    pub drift_detection: DriftDetection,
    /// Alerting
    pub alerting: AlertingConfig,
}

/// Performance monitoring for models
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceMonitoring {
    /// Metrics to monitor
    pub metrics: Vec<MonitoringMetric>,
    /// Monitoring frequency
    pub frequency: Duration,
    /// Baseline comparison
    pub baseline_comparison: bool,
}

/// Monitoring metrics
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum MonitoringMetric {
    Accuracy,
    Precision,
    Recall,
    F1Score,
    Latency,
    Throughput,
}

/// Drift detection configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DriftDetection {
    /// Enable drift detection
    pub enable: bool,
    /// Detection methods
    pub methods: Vec<DriftDetectionMethod>,
    /// Sensitivity
    pub sensitivity: f64,
}

/// Alerting configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AlertingConfig {
    /// Alert channels
    pub channels: Vec<AlertChannel>,
    /// Alert thresholds
    pub thresholds: HashMap<String, f64>,
    /// Escalation rules
    pub escalation: EscalationRules,
}

/// Alert channels
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum AlertChannel {
    Email,
    Slack,
    PagerDuty,
    Webhook,
    Dashboard,
}

/// Escalation rules
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EscalationRules {
    /// Escalation levels
    pub levels: Vec<EscalationLevel>,
    /// Escalation timeouts
    pub timeouts: HashMap<String, Duration>,
}

/// Escalation level definition
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EscalationLevel {
    /// Level name
    pub name: String,
    /// Threshold
    pub threshold: f64,
    /// Actions
    pub actions: Vec<String>,
}

/// QEC monitoring configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct QECMonitoringConfig {
    /// Enable performance tracking
    pub enable_performance_tracking: bool,
    /// Enable error analysis
    pub enable_error_analysis: bool,
    /// Enable resource monitoring
    pub enable_resource_monitoring: bool,
    /// Reporting interval
    pub reporting_interval: std::time::Duration,
    /// Enable predictive analytics
    pub enable_predictive_analytics: bool,
    /// Enable monitoring
    pub enable_monitoring: bool,
    /// Monitoring targets
    pub targets: Vec<MonitoringTarget>,
    /// Real-time dashboard
    pub dashboard: DashboardConfig,
    /// Data collection
    pub data_collection: DataCollectionConfig,
    /// Alerting system
    pub alerting: MonitoringAlertingConfig,
}

/// Monitoring targets
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum MonitoringTarget {
    ErrorRates,
    CorrectionPerformance,
    ResourceUtilization,
    SystemHealth,
    UserExperience,
}

/// Dashboard configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DashboardConfig {
    /// Enable dashboard
    pub enable: bool,
    /// Dashboard components
    pub components: Vec<DashboardComponent>,
    /// Update frequency
    pub update_frequency: Duration,
    /// Access control
    pub access_control: AccessControl,
}

/// Dashboard components
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum DashboardComponent {
    RealTimeMetrics,
    HistoricalTrends,
    Alerts,
    SystemStatus,
    PerformanceGraphs,
}

/// Access control for dashboard
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AccessControl {
    /// Authentication required
    pub authentication: bool,
    /// User roles
    pub roles: Vec<UserRole>,
    /// Permissions
    pub permissions: HashMap<String, Vec<String>>,
}

/// User roles
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum UserRole {
    Admin,
    Operator,
    Viewer,
    Guest,
}

/// Data collection configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DataCollectionConfig {
    /// Collection frequency
    pub frequency: Duration,
    /// Data retention
    pub retention: DataRetention,
    /// Storage configuration
    pub storage: StorageConfig,
}

/// Data retention configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DataRetention {
    /// Retention period
    pub period: Duration,
    /// Archival strategy
    pub archival: ArchivalStrategy,
    /// Compression
    pub compression: bool,
}

/// Archival strategies
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum ArchivalStrategy {
    CloudStorage,
    LocalStorage,
    HybridStorage,
    NoArchival,
}

/// Storage configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct StorageConfig {
    /// Storage backend
    pub backend: StorageBackend,
    /// Replication factor
    pub replication: usize,
    /// Consistency level
    pub consistency: ConsistencyLevel,
}

/// Storage backends
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum StorageBackend {
    FileSystem,
    Database,
    CloudStorage,
    DistributedStorage,
}

/// Consistency levels
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum ConsistencyLevel {
    Eventual,
    Strong,
    Session,
    Bounded,
}

/// Monitoring alerting configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MonitoringAlertingConfig {
    /// Alert rules
    pub rules: Vec<AlertRule>,
    /// Notification channels
    pub channels: Vec<NotificationChannel>,
    /// Alert suppression
    pub suppression: AlertSuppression,
}

/// Alert rule definition
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AlertRule {
    /// Rule name
    pub name: String,
    /// Condition
    pub condition: String,
    /// Severity
    pub severity: AlertSeverity,
    /// Actions
    pub actions: Vec<AlertAction>,
}

/// Alert severity levels
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum AlertSeverity {
    Critical,
    High,
    Medium,
    Low,
    Info,
}

/// Alert actions
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum AlertAction {
    Notify,
    Log,
    Execute,
    Escalate,
}

/// Notification channels
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum NotificationChannel {
    Email,
    SMS,
    Slack,
    Teams,
    Webhook,
}

/// Alert suppression configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AlertSuppression {
    /// Enable suppression
    pub enable: bool,
    /// Suppression rules
    pub rules: Vec<SuppressionRule>,
    /// Default suppression time
    pub default_time: Duration,
}

/// Suppression rule
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SuppressionRule {
    /// Rule name
    pub name: String,
    /// Condition
    pub condition: String,
    /// Suppression duration
    pub duration: Duration,
}

/// Prediction configuration for adaptive QEC
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PredictionConfig {
    /// Prediction horizon
    pub horizon: Duration,
    /// Confidence threshold
    pub confidence_threshold: f64,
}

/// Optimization configuration for adaptive QEC
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OptimizationConfig {
    /// Optimization objectives
    pub objectives: Vec<String>,
    /// Optimization constraints
    pub constraints: Vec<String>,
}

impl Default for PredictionConfig {
    fn default() -> Self {
        Self {
            horizon: Duration::from_secs(60),
            confidence_threshold: 0.8,
        }
    }
}

impl Default for OptimizationConfig {
    fn default() -> Self {
        Self {
            objectives: vec!["minimize_error_rate".to_string()],
            constraints: vec!["hardware_connectivity".to_string()],
        }
    }
}