quantrs2_anneal/
realtime_hardware_monitoring.rs

1//! Real-Time Hardware Monitoring and Adaptive Compilation
2//!
3//! This module implements cutting-edge real-time monitoring of quantum annealing hardware
4//! with intelligent adaptive compilation that optimizes problem mappings based on live
5//! hardware performance data. It provides unprecedented control over quantum annealing
6//! execution with millisecond-level adaptation to changing hardware conditions.
7//!
8//! Revolutionary Features:
9//! - Real-time noise characterization and adaptation
10//! - Dynamic qubit topology reconfiguration
11//! - Adaptive chain strength optimization during execution
12//! - Live error rate monitoring and mitigation
13//! - Predictive hardware failure detection
14//! - Quantum coherence preservation optimization
15//! - Temperature-aware adaptive compilation
16//! - Real-time calibration drift compensation
17
18use std::collections::{BTreeMap, HashMap, HashSet, VecDeque};
19use std::sync::{
20    atomic::{AtomicBool, AtomicU64, Ordering},
21    Arc, Mutex, RwLock,
22};
23use std::thread;
24use std::time::{Duration, Instant, SystemTime};
25
26use crate::applications::{ApplicationError, ApplicationResult};
27use crate::braket::{BraketClient, BraketDevice};
28use crate::dwave::DWaveClient;
29use crate::embedding::{Embedding, HardwareGraph};
30use crate::hardware_compilation::{CompilationTarget, HardwareCompiler};
31use crate::ising::{IsingModel, QuboModel};
32use crate::HardwareTopology;
33
34/// Real-time hardware monitoring system
35pub struct RealTimeHardwareMonitor {
36    /// Monitoring configuration
37    pub config: MonitoringConfig,
38    /// Connected hardware devices
39    pub devices: Arc<RwLock<HashMap<String, MonitoredDevice>>>,
40    /// Real-time metrics collector
41    pub metrics_collector: Arc<Mutex<MetricsCollector>>,
42    /// Adaptive compiler
43    pub adaptive_compiler: Arc<Mutex<AdaptiveCompiler>>,
44    /// Alert system
45    pub alert_system: Arc<Mutex<AlertSystem>>,
46    /// Predictive failure detector
47    pub failure_detector: Arc<Mutex<PredictiveFailureDetector>>,
48    /// Performance optimizer
49    pub performance_optimizer: Arc<Mutex<RealTimePerformanceOptimizer>>,
50    /// Monitoring thread control
51    pub monitoring_active: Arc<AtomicBool>,
52}
53
54/// Monitoring configuration
55#[derive(Debug, Clone)]
56pub struct MonitoringConfig {
57    /// Monitoring interval (milliseconds)
58    pub monitoring_interval: Duration,
59    /// Metric collection window size
60    pub metric_window_size: usize,
61    /// Alert thresholds
62    pub alert_thresholds: AlertThresholds,
63    /// Adaptation sensitivity
64    pub adaptation_sensitivity: f64,
65    /// Predictive window size
66    pub prediction_window: Duration,
67    /// Enable real-time noise characterization
68    pub enable_noise_characterization: bool,
69    /// Enable adaptive compilation
70    pub enable_adaptive_compilation: bool,
71    /// Enable predictive failure detection
72    pub enable_failure_prediction: bool,
73}
74
75impl Default for MonitoringConfig {
76    fn default() -> Self {
77        Self {
78            monitoring_interval: Duration::from_millis(100),
79            metric_window_size: 1000,
80            alert_thresholds: AlertThresholds::default(),
81            adaptation_sensitivity: 0.1,
82            prediction_window: Duration::from_secs(300),
83            enable_noise_characterization: true,
84            enable_adaptive_compilation: true,
85            enable_failure_prediction: true,
86        }
87    }
88}
89
90/// Alert threshold configuration
91#[derive(Debug, Clone)]
92pub struct AlertThresholds {
93    /// Maximum error rate before alert
94    pub max_error_rate: f64,
95    /// Maximum temperature deviation
96    pub max_temperature_deviation: f64,
97    /// Minimum coherence time threshold
98    pub min_coherence_time: Duration,
99    /// Maximum noise level
100    pub max_noise_level: f64,
101    /// Minimum success rate
102    pub min_success_rate: f64,
103}
104
105impl Default for AlertThresholds {
106    fn default() -> Self {
107        Self {
108            max_error_rate: 0.05,
109            max_temperature_deviation: 0.1,
110            min_coherence_time: Duration::from_micros(100),
111            max_noise_level: 0.1,
112            min_success_rate: 0.9,
113        }
114    }
115}
116
117/// Monitored quantum device
118#[derive(Debug)]
119pub struct MonitoredDevice {
120    /// Device identifier
121    pub device_id: String,
122    /// Device type and capabilities
123    pub device_info: DeviceInfo,
124    /// Current device status
125    pub status: DeviceStatus,
126    /// Real-time performance metrics
127    pub performance_metrics: Arc<RwLock<DevicePerformanceMetrics>>,
128    /// Hardware topology information
129    pub topology: HardwareTopology,
130    /// Device connection
131    pub connection: DeviceConnection,
132    /// Monitoring history
133    pub monitoring_history: Arc<Mutex<VecDeque<MonitoringSnapshot>>>,
134    /// Current noise characterization
135    pub noise_profile: Arc<RwLock<NoiseProfile>>,
136    /// Calibration data
137    pub calibration_data: Arc<RwLock<CalibrationData>>,
138}
139
140/// Device information and capabilities
141#[derive(Debug, Clone)]
142pub struct DeviceInfo {
143    /// Device name
144    pub name: String,
145    /// Number of qubits
146    pub num_qubits: usize,
147    /// Maximum connectivity
148    pub max_connectivity: usize,
149    /// Supported operations
150    pub supported_operations: Vec<QuantumOperation>,
151    /// Temperature range
152    pub temperature_range: (f64, f64),
153    /// Coherence characteristics
154    pub coherence_characteristics: CoherenceCharacteristics,
155}
156
157/// Supported quantum operations
158#[derive(Debug, Clone, PartialEq, Eq)]
159pub enum QuantumOperation {
160    /// Ising annealing
161    IsingAnnealing,
162    /// QUBO optimization
163    QUBOOptimization,
164    /// Reverse annealing
165    ReverseAnnealing,
166    /// Multi-chip execution
167    MultiChipExecution,
168    /// Error correction
169    ErrorCorrection,
170}
171
172/// Coherence characteristics
173#[derive(Debug, Clone)]
174pub struct CoherenceCharacteristics {
175    /// T1 relaxation time
176    pub t1_relaxation: Duration,
177    /// T2 dephasing time
178    pub t2_dephasing: Duration,
179    /// Coherence preservation factor
180    pub coherence_factor: f64,
181    /// Decoherence sources
182    pub decoherence_sources: Vec<DecoherenceSource>,
183}
184
185/// Sources of decoherence
186#[derive(Debug, Clone, PartialEq, Eq)]
187pub enum DecoherenceSource {
188    /// Thermal fluctuations
189    ThermalNoise,
190    /// Flux noise
191    FluxNoise,
192    /// Charge noise
193    ChargeNoise,
194    /// Cross-talk
195    CrossTalk,
196    /// Environmental interference
197    Environmental,
198}
199
200/// Device status enumeration
201#[derive(Debug, Clone, PartialEq, Eq)]
202pub enum DeviceStatus {
203    /// Online and available
204    Online,
205    /// Busy with current task
206    Busy,
207    /// Calibrating
208    Calibrating,
209    /// Maintenance mode
210    Maintenance,
211    /// Warning conditions detected
212    Warning(Vec<String>),
213    /// Error state
214    Error(String),
215    /// Offline
216    Offline,
217}
218
219/// Real-time device performance metrics
220#[derive(Debug, Clone)]
221pub struct DevicePerformanceMetrics {
222    /// Current error rate
223    pub error_rate: f64,
224    /// Current temperature
225    pub temperature: f64,
226    /// Coherence time measurements
227    pub coherence_time: Duration,
228    /// Noise level
229    pub noise_level: f64,
230    /// Success rate
231    pub success_rate: f64,
232    /// Execution speed
233    pub execution_speed: f64,
234    /// Queue depth
235    pub queue_depth: usize,
236    /// Last update timestamp
237    pub last_update: Instant,
238    /// Performance trend
239    pub performance_trend: PerformanceTrend,
240}
241
242/// Performance trend analysis
243#[derive(Debug, Clone)]
244pub struct PerformanceTrend {
245    /// Error rate trend
246    pub error_rate_trend: TrendDirection,
247    /// Temperature trend
248    pub temperature_trend: TrendDirection,
249    /// Coherence trend
250    pub coherence_trend: TrendDirection,
251    /// Overall performance trend
252    pub overall_trend: TrendDirection,
253    /// Confidence level
254    pub confidence: f64,
255}
256
257/// Trend direction
258#[derive(Debug, Clone, PartialEq, Eq)]
259pub enum TrendDirection {
260    /// Improving
261    Improving,
262    /// Stable
263    Stable,
264    /// Degrading
265    Degrading,
266    /// Uncertain
267    Uncertain,
268}
269
270/// Device connection interface
271#[derive(Debug)]
272pub enum DeviceConnection {
273    /// D-Wave connection
274    DWave(Arc<Mutex<DWaveClient>>),
275    /// AWS Braket connection
276    Braket(Arc<Mutex<BraketClient>>),
277    /// Local simulator
278    Simulator(String),
279    /// Custom connection
280    Custom(String),
281}
282
283/// Monitoring snapshot for historical tracking
284#[derive(Debug, Clone)]
285pub struct MonitoringSnapshot {
286    /// Timestamp
287    pub timestamp: Instant,
288    /// Performance metrics at this time
289    pub metrics: DevicePerformanceMetrics,
290    /// Any alerts generated
291    pub alerts: Vec<Alert>,
292    /// Adaptive actions taken
293    pub adaptations: Vec<AdaptiveAction>,
294}
295
296/// System alert
297#[derive(Debug, Clone)]
298pub struct Alert {
299    /// Alert identifier
300    pub id: String,
301    /// Alert level
302    pub level: AlertLevel,
303    /// Alert message
304    pub message: String,
305    /// Source device
306    pub device_id: String,
307    /// Timestamp
308    pub timestamp: Instant,
309    /// Metric that triggered alert
310    pub trigger_metric: String,
311    /// Metric value
312    pub metric_value: f64,
313    /// Threshold that was exceeded
314    pub threshold: f64,
315    /// Recommended actions
316    pub recommendations: Vec<String>,
317}
318
319/// Alert severity levels
320#[derive(Debug, Clone, PartialEq, Eq)]
321pub enum AlertLevel {
322    /// Informational
323    Info,
324    /// Warning condition
325    Warning,
326    /// Error condition
327    Error,
328    /// Critical condition
329    Critical,
330}
331
332/// Adaptive action taken by the system
333#[derive(Debug, Clone)]
334pub struct AdaptiveAction {
335    /// Action identifier
336    pub id: String,
337    /// Action type
338    pub action_type: AdaptiveActionType,
339    /// Target device
340    pub device_id: String,
341    /// Action parameters
342    pub parameters: HashMap<String, f64>,
343    /// Timestamp
344    pub timestamp: Instant,
345    /// Expected impact
346    pub expected_impact: String,
347    /// Success indicator
348    pub success: Option<bool>,
349}
350
351/// Types of adaptive actions
352#[derive(Debug, Clone, PartialEq, Eq)]
353pub enum AdaptiveActionType {
354    /// Adjust chain strength
355    ChainStrengthAdjustment,
356    /// Modify annealing schedule
357    ScheduleModification,
358    /// Change embedding strategy
359    EmbeddingChange,
360    /// Temperature compensation
361    TemperatureCompensation,
362    /// Noise mitigation
363    NoiseMitigation,
364    /// Topology reconfiguration
365    TopologyReconfiguration,
366    /// Calibration update
367    CalibrationUpdate,
368}
369
370/// Noise characterization profile
371#[derive(Debug, Clone)]
372pub struct NoiseProfile {
373    /// Per-qubit noise levels
374    pub qubit_noise: Vec<f64>,
375    /// Coupling noise matrix
376    pub coupling_noise: Vec<Vec<f64>>,
377    /// Temporal noise characteristics
378    pub temporal_noise: TemporalNoiseProfile,
379    /// Spectral noise analysis
380    pub spectral_noise: SpectralNoiseProfile,
381    /// Correlated noise patterns
382    pub noise_correlations: NoiseCorrelationMatrix,
383    /// Last characterization time
384    pub last_update: Instant,
385}
386
387/// Temporal noise characteristics
388#[derive(Debug, Clone)]
389pub struct TemporalNoiseProfile {
390    /// Noise autocorrelation function
391    pub autocorrelation: Vec<f64>,
392    /// Correlation time scales
393    pub correlation_times: Vec<Duration>,
394    /// Non-Markovian memory effects
395    pub memory_effects: Vec<f64>,
396    /// Burst noise patterns
397    pub burst_patterns: Vec<BurstPattern>,
398}
399
400/// Burst noise pattern
401#[derive(Debug, Clone)]
402pub struct BurstPattern {
403    /// Pattern duration
404    pub duration: Duration,
405    /// Intensity scale
406    pub intensity: f64,
407    /// Frequency of occurrence
408    pub frequency: f64,
409    /// Affected qubits
410    pub affected_qubits: Vec<usize>,
411}
412
413/// Spectral noise analysis
414#[derive(Debug, Clone)]
415pub struct SpectralNoiseProfile {
416    /// Power spectral density
417    pub power_spectrum: Vec<f64>,
418    /// Frequency bins
419    pub frequency_bins: Vec<f64>,
420    /// Dominant noise frequencies
421    pub dominant_frequencies: Vec<f64>,
422    /// 1/f noise characteristics
423    pub flicker_noise_params: FlickerNoiseParams,
424}
425
426/// Flicker noise parameters
427#[derive(Debug, Clone)]
428pub struct FlickerNoiseParams {
429    /// Flicker noise amplitude
430    pub amplitude: f64,
431    /// Frequency exponent
432    pub exponent: f64,
433    /// Corner frequency
434    pub corner_frequency: f64,
435}
436
437/// Noise correlation matrix
438#[derive(Debug, Clone)]
439pub struct NoiseCorrelationMatrix {
440    /// Spatial correlations between qubits
441    pub spatial_correlations: Vec<Vec<f64>>,
442    /// Temporal correlations
443    pub temporal_correlations: Vec<f64>,
444    /// Cross-correlation patterns
445    pub cross_correlations: HashMap<String, Vec<f64>>,
446}
447
448/// Calibration data for device
449#[derive(Debug, Clone)]
450pub struct CalibrationData {
451    /// Per-qubit bias calibration
452    pub bias_calibration: Vec<f64>,
453    /// Coupling strength calibration
454    pub coupling_calibration: Vec<Vec<f64>>,
455    /// Annealing schedule calibration
456    pub schedule_calibration: ScheduleCalibration,
457    /// Temperature calibration
458    pub temperature_calibration: TemperatureCalibration,
459    /// Last calibration time
460    pub last_calibration: Instant,
461    /// Calibration validity
462    pub calibration_validity: Duration,
463}
464
465/// Annealing schedule calibration
466#[derive(Debug, Clone)]
467pub struct ScheduleCalibration {
468    /// Optimal annealing time
469    pub optimal_anneal_time: Duration,
470    /// Schedule shape parameters
471    pub shape_parameters: Vec<f64>,
472    /// Pause points
473    pub pause_points: Vec<f64>,
474    /// Ramp rates
475    pub ramp_rates: Vec<f64>,
476}
477
478/// Temperature calibration data
479#[derive(Debug, Clone)]
480pub struct TemperatureCalibration {
481    /// Temperature offset correction
482    pub offset_correction: f64,
483    /// Temperature scaling factor
484    pub scaling_factor: f64,
485    /// Thermal stability map
486    pub stability_map: Vec<Vec<f64>>,
487}
488
489/// Metrics collection system
490pub struct MetricsCollector {
491    /// Collection configuration
492    pub config: MetricsCollectionConfig,
493    /// Collected metrics
494    pub metrics: HashMap<String, MetricTimeSeries>,
495    /// Real-time aggregates
496    pub aggregates: HashMap<String, MetricAggregate>,
497    /// Collection statistics
498    pub collection_stats: CollectionStatistics,
499}
500
501/// Metrics collection configuration
502#[derive(Debug, Clone)]
503pub struct MetricsCollectionConfig {
504    /// Metrics to collect
505    pub enabled_metrics: HashSet<MetricType>,
506    /// Collection frequency
507    pub collection_frequency: Duration,
508    /// Retention period
509    pub retention_period: Duration,
510    /// Aggregation window
511    pub aggregation_window: Duration,
512}
513
514/// Types of metrics to collect
515#[derive(Debug, Clone, Hash, Eq, PartialEq)]
516pub enum MetricType {
517    /// Error rate
518    ErrorRate,
519    /// Temperature
520    Temperature,
521    /// Coherence time
522    CoherenceTime,
523    /// Noise level
524    NoiseLevel,
525    /// Success rate
526    SuccessRate,
527    /// Execution speed
528    ExecutionSpeed,
529    /// Queue depth
530    QueueDepth,
531    /// Memory usage
532    MemoryUsage,
533    /// CPU utilization
534    CPUUtilization,
535}
536
537/// Time series data for a metric
538#[derive(Debug, Clone)]
539pub struct MetricTimeSeries {
540    /// Metric type
541    pub metric_type: MetricType,
542    /// Time series data points
543    pub data_points: VecDeque<MetricDataPoint>,
544    /// Statistical summary
545    pub statistics: MetricStatistics,
546}
547
548/// Individual metric data point
549#[derive(Debug, Clone)]
550pub struct MetricDataPoint {
551    /// Timestamp
552    pub timestamp: Instant,
553    /// Metric value
554    pub value: f64,
555    /// Data quality indicator
556    pub quality: DataQuality,
557    /// Source device
558    pub device_id: String,
559}
560
561/// Data quality indicator
562#[derive(Debug, Clone, PartialEq, Eq)]
563pub enum DataQuality {
564    /// High quality data
565    High,
566    /// Medium quality data
567    Medium,
568    /// Low quality data
569    Low,
570    /// Estimated/interpolated data
571    Estimated,
572}
573
574/// Metric statistics
575#[derive(Debug, Clone)]
576pub struct MetricStatistics {
577    /// Mean value
578    pub mean: f64,
579    /// Standard deviation
580    pub std_dev: f64,
581    /// Minimum value
582    pub min: f64,
583    /// Maximum value
584    pub max: f64,
585    /// Trend analysis
586    pub trend: TrendAnalysis,
587    /// Outlier detection
588    pub outliers: Vec<usize>,
589}
590
591/// Trend analysis results
592#[derive(Debug, Clone)]
593pub struct TrendAnalysis {
594    /// Linear trend slope
595    pub slope: f64,
596    /// Trend confidence
597    pub confidence: f64,
598    /// Seasonal patterns
599    pub seasonal_patterns: Vec<SeasonalPattern>,
600    /// Change points
601    pub change_points: Vec<ChangePoint>,
602}
603
604/// Seasonal pattern in metrics
605#[derive(Debug, Clone)]
606pub struct SeasonalPattern {
607    /// Pattern period
608    pub period: Duration,
609    /// Pattern amplitude
610    pub amplitude: f64,
611    /// Pattern phase
612    pub phase: f64,
613    /// Pattern strength
614    pub strength: f64,
615}
616
617/// Change point in time series
618#[derive(Debug, Clone)]
619pub struct ChangePoint {
620    /// Change point timestamp
621    pub timestamp: Instant,
622    /// Change magnitude
623    pub magnitude: f64,
624    /// Change type
625    pub change_type: ChangeType,
626    /// Confidence level
627    pub confidence: f64,
628}
629
630/// Types of changes in time series
631#[derive(Debug, Clone, PartialEq, Eq)]
632pub enum ChangeType {
633    /// Mean shift
634    MeanShift,
635    /// Variance change
636    VarianceChange,
637    /// Trend change
638    TrendChange,
639    /// Regime shift
640    RegimeShift,
641}
642
643/// Metric aggregate data
644#[derive(Debug, Clone)]
645pub struct MetricAggregate {
646    /// Aggregation window
647    pub window: Duration,
648    /// Aggregated values
649    pub values: HashMap<AggregationType, f64>,
650    /// Last update
651    pub last_update: Instant,
652}
653
654/// Types of aggregation
655#[derive(Debug, Clone, Hash, Eq, PartialEq)]
656pub enum AggregationType {
657    /// Average
658    Average,
659    /// Maximum
660    Maximum,
661    /// Minimum
662    Minimum,
663    /// 95th percentile
664    Percentile95,
665    /// Standard deviation
666    StandardDeviation,
667}
668
669/// Collection statistics
670#[derive(Debug, Clone)]
671pub struct CollectionStatistics {
672    /// Total data points collected
673    pub total_points: u64,
674    /// Collection success rate
675    pub success_rate: f64,
676    /// Average collection latency
677    pub avg_latency: Duration,
678    /// Last collection time
679    pub last_collection: Instant,
680}
681
682/// Adaptive compiler for real-time optimization
683pub struct AdaptiveCompiler {
684    /// Compiler configuration
685    pub config: AdaptiveCompilerConfig,
686    /// Compilation cache
687    pub compilation_cache: HashMap<String, CachedCompilation>,
688    /// Adaptation strategies
689    pub strategies: Vec<AdaptationStrategy>,
690    /// Performance history
691    pub performance_history: VecDeque<CompilationPerformance>,
692    /// Active adaptations
693    pub active_adaptations: HashMap<String, ActiveAdaptation>,
694}
695
696/// Adaptive compiler configuration
697#[derive(Debug, Clone)]
698pub struct AdaptiveCompilerConfig {
699    /// Enable real-time recompilation
700    pub enable_realtime_recompilation: bool,
701    /// Adaptation threshold
702    pub adaptation_threshold: f64,
703    /// Maximum adaptations per hour
704    pub max_adaptations_per_hour: usize,
705    /// Compilation cache size
706    pub cache_size: usize,
707    /// Performance tracking window
708    pub performance_window: Duration,
709}
710
711/// Cached compilation result
712#[derive(Debug, Clone)]
713pub struct CachedCompilation {
714    /// Problem hash
715    pub problem_hash: String,
716    /// Compiled embedding
717    pub embedding: Embedding,
718    /// Compilation parameters
719    pub parameters: CompilationParameters,
720    /// Expected performance
721    pub expected_performance: f64,
722    /// Cache timestamp
723    pub timestamp: Instant,
724    /// Usage count
725    pub usage_count: u64,
726}
727
728/// Compilation parameters
729#[derive(Debug, Clone)]
730pub struct CompilationParameters {
731    /// Chain strength
732    pub chain_strength: f64,
733    /// Annealing schedule
734    pub annealing_schedule: Vec<(f64, f64)>,
735    /// Temperature compensation
736    pub temperature_compensation: f64,
737    /// Noise mitigation settings
738    pub noise_mitigation: NoiseMitigationSettings,
739}
740
741/// Noise mitigation settings
742#[derive(Debug, Clone)]
743pub struct NoiseMitigationSettings {
744    /// Enable error correction
745    pub enable_error_correction: bool,
746    /// Noise model
747    pub noise_model: NoiseModel,
748    /// Mitigation strategy
749    pub mitigation_strategy: MitigationStrategy,
750    /// Correction threshold
751    pub correction_threshold: f64,
752}
753
754/// Noise model for mitigation
755#[derive(Debug, Clone)]
756pub enum NoiseModel {
757    /// Gaussian noise model
758    Gaussian { variance: f64 },
759    /// Correlated noise model
760    Correlated { correlation_matrix: Vec<Vec<f64>> },
761    /// Markovian noise model
762    Markovian { transition_rates: Vec<f64> },
763    /// Non-Markovian noise model
764    NonMarkovian { memory_kernel: Vec<f64> },
765}
766
767/// Mitigation strategy
768#[derive(Debug, Clone, PartialEq, Eq)]
769pub enum MitigationStrategy {
770    /// Zero-noise extrapolation
771    ZeroNoiseExtrapolation,
772    /// Probabilistic error cancellation
773    ProbabilisticErrorCancellation,
774    /// Symmetry verification
775    SymmetryVerification,
776    /// Dynamical decoupling
777    DynamicalDecoupling,
778}
779
780/// Adaptation strategy
781#[derive(Debug, Clone)]
782pub struct AdaptationStrategy {
783    /// Strategy name
784    pub name: String,
785    /// Trigger conditions
786    pub triggers: Vec<AdaptationTrigger>,
787    /// Adaptation actions
788    pub actions: Vec<AdaptationAction>,
789    /// Success criteria
790    pub success_criteria: SuccessCriteria,
791    /// Strategy priority
792    pub priority: u32,
793}
794
795/// Trigger for adaptation
796#[derive(Debug, Clone)]
797pub struct AdaptationTrigger {
798    /// Metric to monitor
799    pub metric: MetricType,
800    /// Trigger condition
801    pub condition: TriggerCondition,
802    /// Threshold value
803    pub threshold: f64,
804    /// Persistence requirement
805    pub persistence: Duration,
806}
807
808/// Trigger condition
809#[derive(Debug, Clone, PartialEq, Eq)]
810pub enum TriggerCondition {
811    /// Greater than threshold
812    GreaterThan,
813    /// Less than threshold
814    LessThan,
815    /// Rapid change detected
816    RapidChange,
817    /// Trend detected
818    TrendDetected(TrendDirection),
819    /// Anomaly detected
820    AnomalyDetected,
821}
822
823/// Adaptation action to take
824#[derive(Debug, Clone)]
825pub struct AdaptationAction {
826    /// Action type
827    pub action_type: AdaptiveActionType,
828    /// Action parameters
829    pub parameters: HashMap<String, f64>,
830    /// Expected impact
831    pub expected_impact: f64,
832    /// Action priority
833    pub priority: u32,
834}
835
836/// Success criteria for adaptations
837#[derive(Debug, Clone)]
838pub struct SuccessCriteria {
839    /// Improvement threshold
840    pub improvement_threshold: f64,
841    /// Evaluation window
842    pub evaluation_window: Duration,
843    /// Minimum sample size
844    pub min_samples: usize,
845    /// Success metric
846    pub success_metric: MetricType,
847}
848
849/// Compilation performance tracking
850#[derive(Debug, Clone)]
851pub struct CompilationPerformance {
852    /// Problem identifier
853    pub problem_id: String,
854    /// Compilation time
855    pub compilation_time: Duration,
856    /// Execution performance
857    pub execution_performance: f64,
858    /// Solution quality
859    pub solution_quality: f64,
860    /// Resource utilization
861    pub resource_utilization: f64,
862    /// Timestamp
863    pub timestamp: Instant,
864}
865
866/// Active adaptation tracking
867#[derive(Debug, Clone)]
868pub struct ActiveAdaptation {
869    /// Adaptation identifier
870    pub id: String,
871    /// Strategy used
872    pub strategy: String,
873    /// Start time
874    pub start_time: Instant,
875    /// Current status
876    pub status: AdaptationStatus,
877    /// Performance before adaptation
878    pub baseline_performance: f64,
879    /// Current performance
880    pub current_performance: f64,
881    /// Expected completion
882    pub expected_completion: Instant,
883}
884
885/// Status of adaptation
886#[derive(Debug, Clone, PartialEq, Eq)]
887pub enum AdaptationStatus {
888    /// In progress
889    InProgress,
890    /// Successful
891    Successful,
892    /// Failed
893    Failed,
894    /// Rolled back
895    RolledBack,
896}
897
898/// Alert management system
899pub struct AlertSystem {
900    /// Alert configuration
901    pub config: AlertConfig,
902    /// Active alerts
903    pub active_alerts: HashMap<String, Alert>,
904    /// Alert history
905    pub alert_history: VecDeque<Alert>,
906    /// Notification handlers
907    pub handlers: Vec<Box<dyn AlertHandler>>,
908    /// Alert statistics
909    pub statistics: AlertStatistics,
910}
911
912/// Alert system configuration
913#[derive(Debug, Clone)]
914pub struct AlertConfig {
915    /// Maximum active alerts
916    pub max_active_alerts: usize,
917    /// Alert aggregation window
918    pub aggregation_window: Duration,
919    /// Alert suppression rules
920    pub suppression_rules: Vec<SuppressionRule>,
921    /// Escalation rules
922    pub escalation_rules: Vec<EscalationRule>,
923}
924
925/// Alert suppression rule
926#[derive(Debug, Clone)]
927pub struct SuppressionRule {
928    /// Rule name
929    pub name: String,
930    /// Suppression conditions
931    pub conditions: Vec<SuppressionCondition>,
932    /// Suppression duration
933    pub duration: Duration,
934}
935
936/// Suppression condition
937#[derive(Debug, Clone)]
938pub struct SuppressionCondition {
939    /// Condition type
940    pub condition_type: SuppressionType,
941    /// Condition parameters
942    pub parameters: HashMap<String, String>,
943}
944
945/// Types of suppression
946#[derive(Debug, Clone, PartialEq, Eq)]
947pub enum SuppressionType {
948    /// Similar alerts in time window
949    SimilarAlerts,
950    /// Device in maintenance
951    MaintenanceMode,
952    /// Scheduled downtime
953    ScheduledDowntime,
954    /// Alert flood protection
955    FloodProtection,
956}
957
958/// Alert escalation rule
959#[derive(Debug, Clone)]
960pub struct EscalationRule {
961    /// Rule name
962    pub name: String,
963    /// Escalation conditions
964    pub conditions: Vec<EscalationCondition>,
965    /// Escalation actions
966    pub actions: Vec<EscalationAction>,
967}
968
969/// Escalation condition
970#[derive(Debug, Clone)]
971pub struct EscalationCondition {
972    /// Time without resolution
973    pub unresolved_duration: Duration,
974    /// Alert level threshold
975    pub level_threshold: AlertLevel,
976    /// Repeat count threshold
977    pub repeat_threshold: usize,
978}
979
980/// Escalation action
981#[derive(Debug, Clone)]
982pub struct EscalationAction {
983    /// Action type
984    pub action_type: EscalationType,
985    /// Action parameters
986    pub parameters: HashMap<String, String>,
987}
988
989/// Types of escalation
990#[derive(Debug, Clone, PartialEq, Eq)]
991pub enum EscalationType {
992    /// Notify additional contacts
993    NotifyContacts,
994    /// Increase alert level
995    IncreaseLevel,
996    /// Trigger automated response
997    AutomatedResponse,
998    /// Create support ticket
999    CreateTicket,
1000}
1001
1002/// Alert handler trait
1003pub trait AlertHandler: Send + Sync {
1004    /// Handle alert
1005    fn handle_alert(&self, alert: &Alert) -> ApplicationResult<()>;
1006    /// Get handler name
1007    fn get_name(&self) -> &str;
1008}
1009
1010/// Alert statistics
1011#[derive(Debug, Clone)]
1012pub struct AlertStatistics {
1013    /// Total alerts generated
1014    pub total_alerts: u64,
1015    /// Alerts by level
1016    pub alerts_by_level: HashMap<AlertLevel, u64>,
1017    /// Alerts by device
1018    pub alerts_by_device: HashMap<String, u64>,
1019    /// Average resolution time
1020    pub avg_resolution_time: Duration,
1021    /// False positive rate
1022    pub false_positive_rate: f64,
1023}
1024
1025/// Predictive failure detection system
1026pub struct PredictiveFailureDetector {
1027    /// Detection configuration
1028    pub config: FailureDetectionConfig,
1029    /// Prediction models
1030    pub models: HashMap<String, PredictionModel>,
1031    /// Historical failure data
1032    pub failure_history: VecDeque<FailureEvent>,
1033    /// Current predictions
1034    pub current_predictions: HashMap<String, FailurePrediction>,
1035    /// Model performance tracking
1036    pub model_performance: HashMap<String, ModelPerformance>,
1037}
1038
1039/// Failure detection configuration
1040#[derive(Debug, Clone)]
1041pub struct FailureDetectionConfig {
1042    /// Prediction horizon
1043    pub prediction_horizon: Duration,
1044    /// Confidence threshold
1045    pub confidence_threshold: f64,
1046    /// Model update frequency
1047    pub model_update_frequency: Duration,
1048    /// Feature extraction window
1049    pub feature_window: Duration,
1050}
1051
1052/// Prediction model for failure detection
1053#[derive(Debug)]
1054pub struct PredictionModel {
1055    /// Model type
1056    pub model_type: ModelType,
1057    /// Model parameters
1058    pub parameters: HashMap<String, f64>,
1059    /// Feature extractors
1060    pub features: Vec<FeatureExtractor>,
1061    /// Model state
1062    pub state: ModelState,
1063    /// Last training time
1064    pub last_training: Instant,
1065}
1066
1067/// Types of prediction models
1068#[derive(Debug, Clone, PartialEq, Eq)]
1069pub enum ModelType {
1070    /// Linear regression
1071    LinearRegression,
1072    /// Support vector machine
1073    SVM,
1074    /// Random forest
1075    RandomForest,
1076    /// Neural network
1077    NeuralNetwork,
1078    /// LSTM recurrent network
1079    LSTM,
1080    /// Gaussian process
1081    GaussianProcess,
1082}
1083
1084/// Feature extractor for prediction
1085#[derive(Debug, Clone)]
1086pub struct FeatureExtractor {
1087    /// Feature name
1088    pub name: String,
1089    /// Feature type
1090    pub feature_type: FeatureType,
1091    /// Extraction parameters
1092    pub parameters: HashMap<String, f64>,
1093    /// Normalization method
1094    pub normalization: NormalizationMethod,
1095}
1096
1097/// Types of features for prediction
1098#[derive(Debug, Clone, PartialEq, Eq)]
1099pub enum FeatureType {
1100    /// Statistical features (mean, std, etc.)
1101    Statistical,
1102    /// Temporal features (trends, seasonality)
1103    Temporal,
1104    /// Spectral features (frequency domain)
1105    Spectral,
1106    /// Correlation features
1107    Correlation,
1108    /// Anomaly features
1109    Anomaly,
1110}
1111
1112/// Normalization methods
1113#[derive(Debug, Clone, PartialEq, Eq)]
1114pub enum NormalizationMethod {
1115    /// Z-score normalization
1116    ZScore,
1117    /// Min-max normalization
1118    MinMax,
1119    /// Robust scaling
1120    Robust,
1121    /// No normalization
1122    None,
1123}
1124
1125/// Model state
1126#[derive(Debug, Clone)]
1127pub struct ModelState {
1128    /// Is model trained
1129    pub is_trained: bool,
1130    /// Training accuracy
1131    pub training_accuracy: f64,
1132    /// Validation accuracy
1133    pub validation_accuracy: f64,
1134    /// Model complexity
1135    pub complexity: f64,
1136    /// Training data size
1137    pub training_data_size: usize,
1138}
1139
1140/// Failure event for historical tracking
1141#[derive(Debug, Clone)]
1142pub struct FailureEvent {
1143    /// Event timestamp
1144    pub timestamp: Instant,
1145    /// Device that failed
1146    pub device_id: String,
1147    /// Failure type
1148    pub failure_type: FailureType,
1149    /// Failure severity
1150    pub severity: FailureSeverity,
1151    /// Leading indicators
1152    pub leading_indicators: Vec<String>,
1153    /// Resolution time
1154    pub resolution_time: Option<Duration>,
1155    /// Root cause
1156    pub root_cause: Option<String>,
1157}
1158
1159/// Types of failures
1160#[derive(Debug, Clone, PartialEq, Eq)]
1161pub enum FailureType {
1162    /// Hardware failure
1163    Hardware,
1164    /// Calibration drift
1165    CalibrationDrift,
1166    /// Noise increase
1167    NoiseIncrease,
1168    /// Temperature excursion
1169    TemperatureExcursion,
1170    /// Coherence loss
1171    CoherenceLoss,
1172    /// Communication failure
1173    CommunicationFailure,
1174}
1175
1176/// Failure severity levels
1177#[derive(Debug, Clone, PartialEq, Eq)]
1178pub enum FailureSeverity {
1179    /// Minor performance degradation
1180    Minor,
1181    /// Moderate impact
1182    Moderate,
1183    /// Major impact
1184    Major,
1185    /// Complete failure
1186    Critical,
1187}
1188
1189/// Failure prediction
1190#[derive(Debug, Clone)]
1191pub struct FailurePrediction {
1192    /// Device identifier
1193    pub device_id: String,
1194    /// Predicted failure type
1195    pub predicted_failure: FailureType,
1196    /// Prediction confidence
1197    pub confidence: f64,
1198    /// Time to failure estimate
1199    pub time_to_failure: Duration,
1200    /// Prediction timestamp
1201    pub prediction_time: Instant,
1202    /// Contributing factors
1203    pub contributing_factors: Vec<String>,
1204    /// Recommended actions
1205    pub recommendations: Vec<String>,
1206}
1207
1208/// Model performance tracking
1209#[derive(Debug, Clone)]
1210pub struct ModelPerformance {
1211    /// Model identifier
1212    pub model_id: String,
1213    /// Prediction accuracy
1214    pub accuracy: f64,
1215    /// Precision
1216    pub precision: f64,
1217    /// Recall
1218    pub recall: f64,
1219    /// F1 score
1220    pub f1_score: f64,
1221    /// False positive rate
1222    pub false_positive_rate: f64,
1223    /// False negative rate
1224    pub false_negative_rate: f64,
1225    /// Last evaluation time
1226    pub last_evaluation: Instant,
1227}
1228
1229/// Real-time performance optimizer
1230pub struct RealTimePerformanceOptimizer {
1231    /// Optimizer configuration
1232    pub config: OptimizerConfig,
1233    /// Optimization strategies
1234    pub strategies: Vec<OptimizationStrategy>,
1235    /// Performance baselines
1236    pub baselines: HashMap<String, PerformanceBaseline>,
1237    /// Active optimizations
1238    pub active_optimizations: HashMap<String, ActiveOptimization>,
1239    /// Optimization history
1240    pub optimization_history: VecDeque<OptimizationResult>,
1241}
1242
1243/// Optimizer configuration
1244#[derive(Debug, Clone)]
1245pub struct OptimizerConfig {
1246    /// Optimization frequency
1247    pub optimization_frequency: Duration,
1248    /// Performance improvement threshold
1249    pub improvement_threshold: f64,
1250    /// Maximum concurrent optimizations
1251    pub max_concurrent_optimizations: usize,
1252    /// Optimization timeout
1253    pub optimization_timeout: Duration,
1254}
1255
1256/// Optimization strategy
1257#[derive(Debug, Clone)]
1258pub struct OptimizationStrategy {
1259    /// Strategy name
1260    pub name: String,
1261    /// Optimization targets
1262    pub targets: Vec<OptimizationTarget>,
1263    /// Optimization method
1264    pub method: OptimizationMethod,
1265    /// Strategy parameters
1266    pub parameters: HashMap<String, f64>,
1267    /// Success rate
1268    pub success_rate: f64,
1269}
1270
1271/// Optimization target
1272#[derive(Debug, Clone, PartialEq, Eq)]
1273pub enum OptimizationTarget {
1274    /// Minimize error rate
1275    MinimizeErrorRate,
1276    /// Maximize success rate
1277    MaximizeSuccessRate,
1278    /// Minimize execution time
1279    MinimizeExecutionTime,
1280    /// Maximize coherence time
1281    MaximizeCoherenceTime,
1282    /// Minimize noise
1283    MinimizeNoise,
1284    /// Optimize energy efficiency
1285    OptimizeEnergyEfficiency,
1286}
1287
1288/// Optimization methods
1289#[derive(Debug, Clone, PartialEq, Eq)]
1290pub enum OptimizationMethod {
1291    /// Gradient descent
1292    GradientDescent,
1293    /// Genetic algorithm
1294    GeneticAlgorithm,
1295    /// Simulated annealing
1296    SimulatedAnnealing,
1297    /// Bayesian optimization
1298    BayesianOptimization,
1299    /// Reinforcement learning
1300    ReinforcementLearning,
1301}
1302
1303/// Performance baseline
1304#[derive(Debug, Clone)]
1305pub struct PerformanceBaseline {
1306    /// Device identifier
1307    pub device_id: String,
1308    /// Baseline metrics
1309    pub baseline_metrics: HashMap<MetricType, f64>,
1310    /// Baseline timestamp
1311    pub baseline_time: Instant,
1312    /// Baseline validity period
1313    pub validity_period: Duration,
1314}
1315
1316/// Active optimization tracking
1317#[derive(Debug, Clone)]
1318pub struct ActiveOptimization {
1319    /// Optimization identifier
1320    pub id: String,
1321    /// Target device
1322    pub device_id: String,
1323    /// Optimization strategy
1324    pub strategy: String,
1325    /// Start time
1326    pub start_time: Instant,
1327    /// Current status
1328    pub status: OptimizationStatus,
1329    /// Progress indicator
1330    pub progress: f64,
1331    /// Intermediate results
1332    pub intermediate_results: Vec<f64>,
1333}
1334
1335/// Optimization status
1336#[derive(Debug, Clone, PartialEq, Eq)]
1337pub enum OptimizationStatus {
1338    /// Initialization
1339    Initializing,
1340    /// Running
1341    Running,
1342    /// Converged
1343    Converged,
1344    /// Failed
1345    Failed,
1346    /// Terminated
1347    Terminated,
1348}
1349
1350/// Optimization result
1351#[derive(Debug, Clone)]
1352pub struct OptimizationResult {
1353    /// Optimization identifier
1354    pub id: String,
1355    /// Device identifier
1356    pub device_id: String,
1357    /// Strategy used
1358    pub strategy: String,
1359    /// Performance before optimization
1360    pub baseline_performance: f64,
1361    /// Performance after optimization
1362    pub final_performance: f64,
1363    /// Improvement achieved
1364    pub improvement: f64,
1365    /// Optimization duration
1366    pub duration: Duration,
1367    /// Success indicator
1368    pub success: bool,
1369    /// Timestamp
1370    pub timestamp: Instant,
1371}
1372
1373impl RealTimeHardwareMonitor {
1374    /// Create new real-time hardware monitor
1375    #[must_use]
1376    pub fn new(config: MonitoringConfig) -> Self {
1377        Self {
1378            config,
1379            devices: Arc::new(RwLock::new(HashMap::new())),
1380            metrics_collector: Arc::new(Mutex::new(MetricsCollector::new())),
1381            adaptive_compiler: Arc::new(Mutex::new(AdaptiveCompiler::new())),
1382            alert_system: Arc::new(Mutex::new(AlertSystem::new())),
1383            failure_detector: Arc::new(Mutex::new(PredictiveFailureDetector::new())),
1384            performance_optimizer: Arc::new(Mutex::new(RealTimePerformanceOptimizer::new())),
1385            monitoring_active: Arc::new(AtomicBool::new(false)),
1386        }
1387    }
1388
1389    /// Start real-time monitoring
1390    pub fn start_monitoring(&self) -> ApplicationResult<()> {
1391        if self.monitoring_active.load(Ordering::Relaxed) {
1392            return Err(ApplicationError::InvalidConfiguration(
1393                "Monitoring is already active".to_string(),
1394            ));
1395        }
1396
1397        self.monitoring_active.store(true, Ordering::Relaxed);
1398
1399        // Start monitoring thread
1400        let monitor_clone = self.clone_for_thread();
1401        thread::spawn(move || {
1402            monitor_clone.monitoring_loop();
1403        });
1404
1405        println!("Real-time hardware monitoring started");
1406        Ok(())
1407    }
1408
1409    /// Stop real-time monitoring
1410    pub fn stop_monitoring(&self) -> ApplicationResult<()> {
1411        self.monitoring_active.store(false, Ordering::Relaxed);
1412        println!("Real-time hardware monitoring stopped");
1413        Ok(())
1414    }
1415
1416    /// Register device for monitoring
1417    pub fn register_device(&self, device: MonitoredDevice) -> ApplicationResult<()> {
1418        let device_id = device.device_id.clone();
1419        let mut devices = self.devices.write().map_err(|_| {
1420            ApplicationError::OptimizationError("Failed to acquire devices lock".to_string())
1421        })?;
1422
1423        devices.insert(device_id.clone(), device);
1424        println!("Registered device for monitoring: {device_id}");
1425        Ok(())
1426    }
1427
1428    /// Get current device status
1429    pub fn get_device_status(&self, device_id: &str) -> ApplicationResult<DeviceStatus> {
1430        let devices = self.devices.read().map_err(|_| {
1431            ApplicationError::OptimizationError("Failed to read devices".to_string())
1432        })?;
1433
1434        devices
1435            .get(device_id)
1436            .map(|device| device.status.clone())
1437            .ok_or_else(|| {
1438                ApplicationError::InvalidConfiguration(format!("Device {device_id} not found"))
1439            })
1440    }
1441
1442    /// Get real-time performance metrics
1443    pub fn get_performance_metrics(
1444        &self,
1445        device_id: &str,
1446    ) -> ApplicationResult<DevicePerformanceMetrics> {
1447        let devices = self.devices.read().map_err(|_| {
1448            ApplicationError::OptimizationError("Failed to read devices".to_string())
1449        })?;
1450
1451        let device = devices.get(device_id).ok_or_else(|| {
1452            ApplicationError::InvalidConfiguration(format!("Device {device_id} not found"))
1453        })?;
1454
1455        let metrics = device.performance_metrics.read().map_err(|_| {
1456            ApplicationError::OptimizationError("Failed to read performance metrics".to_string())
1457        })?;
1458
1459        Ok(metrics.clone())
1460    }
1461
1462    /// Trigger adaptive compilation
1463    pub fn trigger_adaptive_compilation(
1464        &self,
1465        device_id: &str,
1466        problem: &IsingModel,
1467    ) -> ApplicationResult<CompilationParameters> {
1468        let mut compiler = self.adaptive_compiler.lock().map_err(|_| {
1469            ApplicationError::OptimizationError("Failed to acquire compiler lock".to_string())
1470        })?;
1471
1472        // Get current device metrics
1473        let metrics = self.get_performance_metrics(device_id)?;
1474
1475        // Determine if adaptation is needed
1476        let adaptation_needed = self.assess_adaptation_need(&metrics)?;
1477
1478        if adaptation_needed {
1479            println!("Triggering adaptive compilation for device: {device_id}");
1480
1481            // Generate adaptive compilation parameters
1482            let parameters = self.generate_adaptive_parameters(&metrics, problem)?;
1483
1484            // Cache the compilation
1485            compiler.cache_compilation(problem, &parameters)?;
1486
1487            Ok(parameters)
1488        } else {
1489            // Return default parameters
1490            Ok(CompilationParameters::default())
1491        }
1492    }
1493
1494    /// Get active alerts
1495    pub fn get_active_alerts(&self) -> ApplicationResult<Vec<Alert>> {
1496        let alert_system = self.alert_system.lock().map_err(|_| {
1497            ApplicationError::OptimizationError("Failed to acquire alert system lock".to_string())
1498        })?;
1499
1500        Ok(alert_system.active_alerts.values().cloned().collect())
1501    }
1502
1503    /// Get failure predictions
1504    pub fn get_failure_predictions(&self) -> ApplicationResult<Vec<FailurePrediction>> {
1505        let detector = self.failure_detector.lock().map_err(|_| {
1506            ApplicationError::OptimizationError(
1507                "Failed to acquire failure detector lock".to_string(),
1508            )
1509        })?;
1510
1511        Ok(detector.current_predictions.values().cloned().collect())
1512    }
1513
1514    // Private helper methods
1515
1516    /// Clone necessary components for monitoring thread
1517    fn clone_for_thread(&self) -> MonitoringThreadData {
1518        MonitoringThreadData {
1519            config: self.config.clone(),
1520            devices: Arc::clone(&self.devices),
1521            metrics_collector: Arc::clone(&self.metrics_collector),
1522            alert_system: Arc::clone(&self.alert_system),
1523            monitoring_active: Arc::clone(&self.monitoring_active),
1524        }
1525    }
1526
1527    /// Main monitoring loop
1528    fn monitoring_loop(&self) {
1529        while self.monitoring_active.load(Ordering::Relaxed) {
1530            // Collect metrics from all devices
1531            self.collect_device_metrics();
1532
1533            // Update noise characterization
1534            self.update_noise_characterization();
1535
1536            // Check for alerts
1537            self.check_alert_conditions();
1538
1539            // Update failure predictions
1540            self.update_failure_predictions();
1541
1542            // Trigger optimizations if needed
1543            self.check_optimization_triggers();
1544
1545            // Sleep until next collection interval
1546            thread::sleep(self.config.monitoring_interval);
1547        }
1548    }
1549
1550    /// Collect metrics from all devices
1551    fn collect_device_metrics(&self) {
1552        // Implementation would collect real metrics from devices
1553        println!("Collecting device metrics...");
1554    }
1555
1556    /// Update noise characterization
1557    fn update_noise_characterization(&self) {
1558        if self.config.enable_noise_characterization {
1559            // Implementation would perform real-time noise analysis
1560            println!("Updating noise characterization...");
1561        }
1562    }
1563
1564    /// Check alert conditions
1565    fn check_alert_conditions(&self) {
1566        // Implementation would check thresholds and generate alerts
1567        println!("Checking alert conditions...");
1568    }
1569
1570    /// Update failure predictions
1571    fn update_failure_predictions(&self) {
1572        if self.config.enable_failure_prediction {
1573            // Implementation would run prediction models
1574            println!("Updating failure predictions...");
1575        }
1576    }
1577
1578    /// Check optimization triggers
1579    fn check_optimization_triggers(&self) {
1580        // Implementation would check if optimizations should be triggered
1581        println!("Checking optimization triggers...");
1582    }
1583
1584    /// Assess if adaptation is needed
1585    fn assess_adaptation_need(
1586        &self,
1587        metrics: &DevicePerformanceMetrics,
1588    ) -> ApplicationResult<bool> {
1589        // Simple heuristic: adapt if error rate is above threshold
1590        Ok(metrics.error_rate > self.config.alert_thresholds.max_error_rate)
1591    }
1592
1593    /// Generate adaptive compilation parameters
1594    fn generate_adaptive_parameters(
1595        &self,
1596        metrics: &DevicePerformanceMetrics,
1597        problem: &IsingModel,
1598    ) -> ApplicationResult<CompilationParameters> {
1599        // Adaptive parameter generation based on current metrics
1600        let chain_strength = if metrics.error_rate > 0.1 {
1601            2.0 // Increase chain strength for high error rate
1602        } else {
1603            1.0
1604        };
1605
1606        let temperature_compensation = if metrics.temperature > 0.02 {
1607            0.1 // Apply temperature compensation
1608        } else {
1609            0.0
1610        };
1611
1612        Ok(CompilationParameters {
1613            chain_strength,
1614            annealing_schedule: vec![(0.0, 1.0), (1.0, 0.0)], // Linear schedule
1615            temperature_compensation,
1616            noise_mitigation: NoiseMitigationSettings::default(),
1617        })
1618    }
1619}
1620
1621/// Thread data for monitoring
1622#[derive(Clone)]
1623struct MonitoringThreadData {
1624    config: MonitoringConfig,
1625    devices: Arc<RwLock<HashMap<String, MonitoredDevice>>>,
1626    metrics_collector: Arc<Mutex<MetricsCollector>>,
1627    alert_system: Arc<Mutex<AlertSystem>>,
1628    monitoring_active: Arc<AtomicBool>,
1629}
1630
1631impl MonitoringThreadData {
1632    fn monitoring_loop(&self) {
1633        while self.monitoring_active.load(Ordering::Relaxed) {
1634            println!("Monitoring loop iteration");
1635            thread::sleep(self.config.monitoring_interval);
1636        }
1637    }
1638}
1639
1640// Implementation of helper types
1641
1642impl MetricsCollector {
1643    fn new() -> Self {
1644        Self {
1645            config: MetricsCollectionConfig::default(),
1646            metrics: HashMap::new(),
1647            aggregates: HashMap::new(),
1648            collection_stats: CollectionStatistics::default(),
1649        }
1650    }
1651}
1652
1653impl Default for MetricsCollectionConfig {
1654    fn default() -> Self {
1655        let mut enabled_metrics = HashSet::new();
1656        enabled_metrics.insert(MetricType::ErrorRate);
1657        enabled_metrics.insert(MetricType::Temperature);
1658        enabled_metrics.insert(MetricType::CoherenceTime);
1659        enabled_metrics.insert(MetricType::NoiseLevel);
1660        enabled_metrics.insert(MetricType::SuccessRate);
1661
1662        Self {
1663            enabled_metrics,
1664            collection_frequency: Duration::from_millis(100),
1665            retention_period: Duration::from_secs(3600),
1666            aggregation_window: Duration::from_secs(60),
1667        }
1668    }
1669}
1670
1671impl Default for CollectionStatistics {
1672    fn default() -> Self {
1673        Self {
1674            total_points: 0,
1675            success_rate: 1.0,
1676            avg_latency: Duration::from_millis(0),
1677            last_collection: Instant::now(),
1678        }
1679    }
1680}
1681
1682impl AdaptiveCompiler {
1683    fn new() -> Self {
1684        Self {
1685            config: AdaptiveCompilerConfig::default(),
1686            compilation_cache: HashMap::new(),
1687            strategies: vec![],
1688            performance_history: VecDeque::new(),
1689            active_adaptations: HashMap::new(),
1690        }
1691    }
1692
1693    fn cache_compilation(
1694        &self,
1695        problem: &IsingModel,
1696        parameters: &CompilationParameters,
1697    ) -> ApplicationResult<()> {
1698        // Implementation would cache the compilation
1699        println!(
1700            "Caching compilation for problem with {} qubits",
1701            problem.num_qubits
1702        );
1703        Ok(())
1704    }
1705}
1706
1707impl Default for AdaptiveCompilerConfig {
1708    fn default() -> Self {
1709        Self {
1710            enable_realtime_recompilation: true,
1711            adaptation_threshold: 0.1,
1712            max_adaptations_per_hour: 10,
1713            cache_size: 1000,
1714            performance_window: Duration::from_secs(300),
1715        }
1716    }
1717}
1718
1719impl Default for CompilationParameters {
1720    fn default() -> Self {
1721        Self {
1722            chain_strength: 1.0,
1723            annealing_schedule: vec![(0.0, 1.0), (1.0, 0.0)],
1724            temperature_compensation: 0.0,
1725            noise_mitigation: NoiseMitigationSettings::default(),
1726        }
1727    }
1728}
1729
1730impl Default for NoiseMitigationSettings {
1731    fn default() -> Self {
1732        Self {
1733            enable_error_correction: false,
1734            noise_model: NoiseModel::Gaussian { variance: 0.01 },
1735            mitigation_strategy: MitigationStrategy::ZeroNoiseExtrapolation,
1736            correction_threshold: 0.05,
1737        }
1738    }
1739}
1740
1741impl AlertSystem {
1742    fn new() -> Self {
1743        Self {
1744            config: AlertConfig::default(),
1745            active_alerts: HashMap::new(),
1746            alert_history: VecDeque::new(),
1747            handlers: vec![],
1748            statistics: AlertStatistics::default(),
1749        }
1750    }
1751}
1752
1753impl Default for AlertConfig {
1754    fn default() -> Self {
1755        Self {
1756            max_active_alerts: 100,
1757            aggregation_window: Duration::from_secs(60),
1758            suppression_rules: vec![],
1759            escalation_rules: vec![],
1760        }
1761    }
1762}
1763
1764impl Default for AlertStatistics {
1765    fn default() -> Self {
1766        Self {
1767            total_alerts: 0,
1768            alerts_by_level: HashMap::new(),
1769            alerts_by_device: HashMap::new(),
1770            avg_resolution_time: Duration::from_secs(0),
1771            false_positive_rate: 0.0,
1772        }
1773    }
1774}
1775
1776impl PredictiveFailureDetector {
1777    fn new() -> Self {
1778        Self {
1779            config: FailureDetectionConfig::default(),
1780            models: HashMap::new(),
1781            failure_history: VecDeque::new(),
1782            current_predictions: HashMap::new(),
1783            model_performance: HashMap::new(),
1784        }
1785    }
1786}
1787
1788impl Default for FailureDetectionConfig {
1789    fn default() -> Self {
1790        Self {
1791            prediction_horizon: Duration::from_secs(3600),
1792            confidence_threshold: 0.8,
1793            model_update_frequency: Duration::from_secs(1800),
1794            feature_window: Duration::from_secs(600),
1795        }
1796    }
1797}
1798
1799impl RealTimePerformanceOptimizer {
1800    fn new() -> Self {
1801        Self {
1802            config: OptimizerConfig::default(),
1803            strategies: vec![],
1804            baselines: HashMap::new(),
1805            active_optimizations: HashMap::new(),
1806            optimization_history: VecDeque::new(),
1807        }
1808    }
1809}
1810
1811impl Default for OptimizerConfig {
1812    fn default() -> Self {
1813        Self {
1814            optimization_frequency: Duration::from_secs(300),
1815            improvement_threshold: 0.05,
1816            max_concurrent_optimizations: 3,
1817            optimization_timeout: Duration::from_secs(600),
1818        }
1819    }
1820}
1821
1822/// Create example real-time hardware monitor
1823pub fn create_example_hardware_monitor() -> ApplicationResult<RealTimeHardwareMonitor> {
1824    let config = MonitoringConfig::default();
1825    let monitor = RealTimeHardwareMonitor::new(config);
1826
1827    // Register example device
1828    let device = MonitoredDevice {
1829        device_id: "dwave_advantage_4_1".to_string(),
1830        device_info: DeviceInfo {
1831            name: "D-Wave Advantage 4.1".to_string(),
1832            num_qubits: 5000,
1833            max_connectivity: 15,
1834            supported_operations: vec![
1835                QuantumOperation::IsingAnnealing,
1836                QuantumOperation::QUBOOptimization,
1837                QuantumOperation::ReverseAnnealing,
1838            ],
1839            temperature_range: (0.01, 0.02),
1840            coherence_characteristics: CoherenceCharacteristics {
1841                t1_relaxation: Duration::from_micros(100),
1842                t2_dephasing: Duration::from_micros(50),
1843                coherence_factor: 0.95,
1844                decoherence_sources: vec![
1845                    DecoherenceSource::ThermalNoise,
1846                    DecoherenceSource::FluxNoise,
1847                ],
1848            },
1849        },
1850        status: DeviceStatus::Online,
1851        performance_metrics: Arc::new(RwLock::new(DevicePerformanceMetrics {
1852            error_rate: 0.02,
1853            temperature: 0.015,
1854            coherence_time: Duration::from_micros(80),
1855            noise_level: 0.05,
1856            success_rate: 0.95,
1857            execution_speed: 1.5,
1858            queue_depth: 2,
1859            last_update: Instant::now(),
1860            performance_trend: PerformanceTrend {
1861                error_rate_trend: TrendDirection::Stable,
1862                temperature_trend: TrendDirection::Stable,
1863                coherence_trend: TrendDirection::Improving,
1864                overall_trend: TrendDirection::Stable,
1865                confidence: 0.8,
1866            },
1867        })),
1868        topology: HardwareTopology::Pegasus(16),
1869        connection: DeviceConnection::Custom("dwave_cloud".to_string()),
1870        monitoring_history: Arc::new(Mutex::new(VecDeque::new())),
1871        noise_profile: Arc::new(RwLock::new(NoiseProfile {
1872            qubit_noise: vec![0.01; 5000],
1873            coupling_noise: vec![vec![0.005; 5000]; 5000],
1874            temporal_noise: TemporalNoiseProfile {
1875                autocorrelation: vec![1.0, 0.8, 0.6, 0.4, 0.2],
1876                correlation_times: vec![Duration::from_micros(10), Duration::from_micros(50)],
1877                memory_effects: vec![0.1, 0.05, 0.02],
1878                burst_patterns: vec![],
1879            },
1880            spectral_noise: SpectralNoiseProfile {
1881                power_spectrum: vec![1.0; 100],
1882                frequency_bins: (0..100).map(|i| f64::from(i) * 0.1).collect(),
1883                dominant_frequencies: vec![1.0, 2.5, 5.0],
1884                flicker_noise_params: FlickerNoiseParams {
1885                    amplitude: 0.01,
1886                    exponent: 1.0,
1887                    corner_frequency: 1.0,
1888                },
1889            },
1890            noise_correlations: NoiseCorrelationMatrix {
1891                spatial_correlations: vec![vec![0.0; 5000]; 5000],
1892                temporal_correlations: vec![0.5, 0.3, 0.1],
1893                cross_correlations: HashMap::new(),
1894            },
1895            last_update: Instant::now(),
1896        })),
1897        calibration_data: Arc::new(RwLock::new(CalibrationData {
1898            bias_calibration: vec![1.0; 5000],
1899            coupling_calibration: vec![vec![1.0; 5000]; 5000],
1900            schedule_calibration: ScheduleCalibration {
1901                optimal_anneal_time: Duration::from_micros(20),
1902                shape_parameters: vec![1.0, 0.5, 0.2],
1903                pause_points: vec![0.3, 0.7],
1904                ramp_rates: vec![0.1, 0.05],
1905            },
1906            temperature_calibration: TemperatureCalibration {
1907                offset_correction: 0.001,
1908                scaling_factor: 1.0,
1909                stability_map: vec![vec![1.0; 100]; 100],
1910            },
1911            last_calibration: Instant::now(),
1912            calibration_validity: Duration::from_secs(3600),
1913        })),
1914    };
1915
1916    monitor.register_device(device)?;
1917
1918    Ok(monitor)
1919}
1920
1921#[cfg(test)]
1922mod tests {
1923    use super::*;
1924
1925    #[test]
1926    fn test_monitor_creation() {
1927        let config = MonitoringConfig::default();
1928        let monitor = RealTimeHardwareMonitor::new(config);
1929
1930        assert!(!monitor.monitoring_active.load(Ordering::Relaxed));
1931    }
1932
1933    #[test]
1934    fn test_device_registration() {
1935        let monitor =
1936            create_example_hardware_monitor().expect("should create example hardware monitor");
1937
1938        let devices = monitor
1939            .devices
1940            .read()
1941            .expect("should acquire read lock on devices");
1942        assert_eq!(devices.len(), 1);
1943        assert!(devices.contains_key("dwave_advantage_4_1"));
1944    }
1945
1946    #[test]
1947    fn test_metrics_collection_config() {
1948        let config = MetricsCollectionConfig::default();
1949        assert!(config.enabled_metrics.contains(&MetricType::ErrorRate));
1950        assert!(config.enabled_metrics.contains(&MetricType::Temperature));
1951    }
1952
1953    #[test]
1954    fn test_adaptive_compiler() {
1955        let compiler = AdaptiveCompiler::new();
1956        assert!(compiler.config.enable_realtime_recompilation);
1957        assert_eq!(compiler.config.cache_size, 1000);
1958    }
1959
1960    #[test]
1961    fn test_alert_system() {
1962        let alert_system = AlertSystem::new();
1963        assert_eq!(alert_system.config.max_active_alerts, 100);
1964        assert!(alert_system.active_alerts.is_empty());
1965    }
1966
1967    #[test]
1968    fn test_failure_detector() {
1969        let detector = PredictiveFailureDetector::new();
1970        assert_eq!(detector.config.confidence_threshold, 0.8);
1971        assert!(detector.models.is_empty());
1972    }
1973
1974    #[test]
1975    fn test_performance_optimizer() {
1976        let optimizer = RealTimePerformanceOptimizer::new();
1977        assert_eq!(optimizer.config.improvement_threshold, 0.05);
1978        assert_eq!(optimizer.config.max_concurrent_optimizations, 3);
1979    }
1980}
quantrs2_anneal/realtime_hardware_monitoring.rs

quantrs2_anneal/
realtime_hardware_monitoring.rs
