quantrs2_tytan/
advanced_error_mitigation.rs

1//! Advanced Error Mitigation and Calibration
2//!
3//! This module provides sophisticated error mitigation and calibration capabilities
4//! for quantum computing systems, including real-time noise characterization,
5//! adaptive protocols, and quantum error correction integration.
6
7#![allow(dead_code)]
8
9use scirs2_core::ndarray::{Array1, Array2};
10use serde::{Deserialize, Serialize};
11use std::collections::{BTreeMap, HashMap, VecDeque};
12use std::sync::{Arc, RwLock};
13use std::time::{Duration, SystemTime};
14
15/// Advanced error mitigation and calibration manager
16pub struct AdvancedErrorMitigationManager {
17    /// Noise characterization engine
18    noise_characterizer: NoiseCharacterizer,
19    /// Adaptive mitigation engine
20    mitigation_engine: AdaptiveMitigationEngine,
21    /// Calibration system
22    calibration_system: CalibrationSystem,
23    /// Error syndrome predictor
24    syndrome_predictor: ErrorSyndromePredictor,
25    /// Quantum error correction integrator
26    qec_integrator: QECIntegrator,
27    /// System configuration
28    config: ErrorMitigationConfig,
29    /// Runtime state
30    state: Arc<RwLock<MitigationState>>,
31}
32
33#[derive(Debug, Clone, Serialize, Deserialize)]
34pub struct ErrorMitigationConfig {
35    /// Real-time monitoring enabled
36    pub real_time_monitoring: bool,
37    /// Adaptive protocols enabled
38    pub adaptive_protocols: bool,
39    /// Device calibration enabled
40    pub device_calibration: bool,
41    /// Syndrome prediction enabled
42    pub syndrome_prediction: bool,
43    /// QEC integration enabled
44    pub qec_integration: bool,
45    /// Monitoring interval
46    pub monitoring_interval: Duration,
47    /// Calibration schedule interval
48    pub calibration_interval: Duration,
49    /// Noise model update threshold
50    pub noise_update_threshold: f64,
51    /// Mitigation threshold
52    pub mitigation_threshold: f64,
53    /// History retention period
54    pub history_retention: Duration,
55}
56
57impl Default for ErrorMitigationConfig {
58    fn default() -> Self {
59        Self {
60            real_time_monitoring: true,
61            adaptive_protocols: true,
62            device_calibration: true,
63            syndrome_prediction: true,
64            qec_integration: true,
65            monitoring_interval: Duration::from_millis(100),
66            calibration_interval: Duration::from_secs(3600), // 1 hour
67            noise_update_threshold: 0.05,
68            mitigation_threshold: 0.1,
69            history_retention: Duration::from_secs(24 * 3600), // 24 hours
70        }
71    }
72}
73
74#[derive(Debug, Clone)]
75pub struct MitigationState {
76    /// Current noise model
77    pub current_noise_model: NoiseModel,
78    /// Active mitigation protocols
79    pub active_protocols: Vec<MitigationProtocol>,
80    /// Calibration status
81    pub calibration_status: CalibrationStatus,
82    /// Error statistics
83    pub error_statistics: ErrorStatistics,
84    /// Last update time
85    pub last_update: SystemTime,
86}
87
88/// Real-time noise characterization system
89pub struct NoiseCharacterizer {
90    /// Process tomography module
91    process_tomography: ProcessTomography,
92    /// Randomized benchmarking module
93    randomized_benchmarking: RandomizedBenchmarking,
94    /// Gate set tomography module
95    gate_set_tomography: GateSetTomography,
96    /// Noise spectroscopy module
97    noise_spectroscopy: NoiseSpectroscopy,
98    /// Configuration
99    config: NoiseCharacterizationConfig,
100    /// Historical data
101    history: VecDeque<NoiseCharacterizationResult>,
102}
103
104#[derive(Debug, Clone, Serialize, Deserialize)]
105pub struct NoiseCharacterizationConfig {
106    /// Sampling frequency for noise monitoring
107    pub sampling_frequency: f64,
108    /// Number of benchmarking sequences
109    pub benchmarking_sequences: usize,
110    /// Tomography protocol
111    pub tomography_protocol: TomographyProtocol,
112    /// Spectroscopy parameters
113    pub spectroscopy_config: SpectroscopyConfig,
114    /// History length
115    pub history_length: usize,
116}
117
118#[derive(Debug, Clone, Serialize, Deserialize)]
119pub enum TomographyProtocol {
120    StandardProcessTomography,
121    CompressedSensing,
122    BayesianInference,
123    MaximumLikelihood,
124    LinearInversion,
125}
126
127#[derive(Debug, Clone, Serialize, Deserialize)]
128pub struct SpectroscopyConfig {
129    /// Frequency range for noise spectroscopy
130    pub frequency_range: (f64, f64),
131    /// Number of frequency points
132    pub frequency_points: usize,
133    /// Measurement time per point
134    pub measurement_time: Duration,
135    /// Signal processing window
136    pub processing_window: ProcessingWindow,
137}
138
139#[derive(Debug, Clone, Serialize, Deserialize)]
140pub enum ProcessingWindow {
141    Hanning,
142    Blackman,
143    Kaiser { beta: f64 },
144    Gaussian { sigma: f64 },
145    Rectangular,
146}
147
148/// Noise characterization result
149#[derive(Debug, Clone, Serialize, Deserialize)]
150pub struct NoiseCharacterizationResult {
151    /// Timestamp
152    pub timestamp: SystemTime,
153    /// Characterized noise model
154    pub noise_model: NoiseModel,
155    /// Process matrices
156    pub process_matrices: HashMap<String, Array2<f64>>,
157    /// Benchmarking results
158    pub benchmarking_results: RandomizedBenchmarkingResult,
159    /// Spectroscopy data
160    pub spectroscopy_data: SpectroscopyData,
161    /// Confidence intervals
162    pub confidence_intervals: ConfidenceIntervals,
163    /// Quality metrics
164    pub quality_metrics: CharacterizationQuality,
165}
166
167#[derive(Debug, Clone, Serialize, Deserialize)]
168pub struct NoiseModel {
169    /// Single-qubit error rates
170    pub single_qubit_errors: HashMap<usize, SingleQubitErrorModel>,
171    /// Two-qubit error rates
172    pub two_qubit_errors: HashMap<(usize, usize), TwoQubitErrorModel>,
173    /// Crosstalk matrix
174    pub crosstalk_matrix: Array2<f64>,
175    /// Temporal correlations
176    pub temporal_correlations: TemporalCorrelationModel,
177    /// Environmental noise
178    pub environmental_noise: EnvironmentalNoiseModel,
179    /// Model validation score
180    pub validation_score: f64,
181}
182
183#[derive(Debug, Clone, Serialize, Deserialize)]
184pub struct SingleQubitErrorModel {
185    /// Depolarizing error rate
186    pub depolarizing_rate: f64,
187    /// Dephasing rates (T1, T2, T2*)
188    pub dephasing_rates: DephasingRates,
189    /// Amplitude damping rate
190    pub amplitude_damping_rate: f64,
191    /// Phase damping rate
192    pub phase_damping_rate: f64,
193    /// Thermal population
194    pub thermal_population: f64,
195    /// Gate-dependent errors
196    pub gate_errors: HashMap<String, GateErrorModel>,
197}
198
199#[derive(Debug, Clone, Serialize, Deserialize)]
200pub struct DephasingRates {
201    pub t1: f64,
202    pub t2: f64,
203    pub t2_star: f64,
204    pub t2_echo: f64,
205}
206
207#[derive(Debug, Clone, Serialize, Deserialize)]
208pub struct GateErrorModel {
209    /// Error probability
210    pub error_probability: f64,
211    /// Coherent error angle
212    pub coherent_error_angle: f64,
213    /// Incoherent error components
214    pub incoherent_components: Array1<f64>,
215    /// Leakage probability
216    pub leakage_probability: f64,
217}
218
219#[derive(Debug, Clone, Serialize, Deserialize)]
220pub struct TwoQubitErrorModel {
221    /// Entangling gate error
222    pub entangling_error: f64,
223    /// Crosstalk strength
224    pub crosstalk_strength: f64,
225    /// ZZ coupling rate
226    pub zz_coupling: f64,
227    /// Conditional phase error
228    pub conditional_phase_error: f64,
229    /// Gate time variation
230    pub gate_time_variation: f64,
231}
232
233#[derive(Debug, Clone, Serialize, Deserialize)]
234pub struct TemporalCorrelationModel {
235    /// Autocorrelation function
236    pub autocorrelation: Array1<f64>,
237    /// Power spectral density
238    pub power_spectrum: Array1<f64>,
239    /// Correlation timescales
240    pub timescales: Vec<f64>,
241    /// 1/f noise parameters
242    pub one_over_f_params: OneOverFParameters,
243}
244
245#[derive(Debug, Clone, Serialize, Deserialize)]
246pub struct OneOverFParameters {
247    /// Amplitude
248    pub amplitude: f64,
249    /// Exponent
250    pub exponent: f64,
251    /// Cutoff frequency
252    pub cutoff_frequency: f64,
253    /// High frequency rolloff
254    pub high_freq_rolloff: f64,
255}
256
257#[derive(Debug, Clone, Serialize, Deserialize)]
258pub struct EnvironmentalNoiseModel {
259    /// Temperature fluctuations
260    pub temperature_noise: f64,
261    /// Magnetic field fluctuations
262    pub magnetic_noise: f64,
263    /// Electric field fluctuations
264    pub electric_noise: f64,
265    /// Vibration sensitivity
266    pub vibration_sensitivity: f64,
267    /// Control line noise
268    pub control_line_noise: HashMap<String, f64>,
269}
270
271/// Adaptive error mitigation engine
272pub struct AdaptiveMitigationEngine {
273    /// Active mitigation protocols
274    protocols: Vec<Box<dyn MitigationProtocolImpl>>,
275    /// Protocol selector
276    protocol_selector: ProtocolSelector,
277    /// Parameter optimizer
278    parameter_optimizer: ParameterOptimizer,
279    /// Performance monitor
280    performance_monitor: PerformanceMonitor,
281    /// Configuration
282    config: AdaptiveMitigationConfig,
283}
284
285#[derive(Debug, Clone, Serialize, Deserialize)]
286pub struct AdaptiveMitigationConfig {
287    /// Protocol update frequency
288    pub update_frequency: Duration,
289    /// Performance monitoring window
290    pub monitoring_window: Duration,
291    /// Adaptation threshold
292    pub adaptation_threshold: f64,
293    /// Maximum protocols active
294    pub max_active_protocols: usize,
295    /// Learning rate for adaptation
296    pub learning_rate: f64,
297}
298
299pub trait MitigationProtocolImpl: Send + Sync {
300    fn name(&self) -> &str;
301    fn apply(
302        &self,
303        circuit: &QuantumCircuit,
304        noise_model: &NoiseModel,
305    ) -> Result<MitigatedResult, MitigationError>;
306    fn cost(&self) -> f64;
307    fn effectiveness(&self, noise_model: &NoiseModel) -> f64;
308    fn parameters(&self) -> HashMap<String, f64>;
309    fn set_parameters(&mut self, params: HashMap<String, f64>) -> Result<(), MitigationError>;
310}
311
312#[derive(Debug, Clone)]
313pub enum MitigationProtocol {
314    ZeroNoiseExtrapolation {
315        scaling_factors: Vec<f64>,
316        extrapolation_method: ExtrapolationMethod,
317    },
318    ProbabilisticErrorCancellation {
319        inverse_map: HashMap<String, Array2<f64>>,
320        sampling_overhead: f64,
321    },
322    SymmetryVerification {
323        symmetries: Vec<SymmetryOperator>,
324        verification_threshold: f64,
325    },
326    VirtualDistillation {
327        distillation_circuits: Vec<QuantumCircuit>,
328        purification_level: usize,
329    },
330    DynamicalDecoupling {
331        decoupling_sequence: Vec<PulseSequence>,
332        sequence_timing: Vec<f64>,
333    },
334    CompositePulses {
335        pulse_sequences: HashMap<String, Vec<Pulse>>,
336        robustness_level: usize,
337    },
338}
339
340#[derive(Debug, Clone, Serialize, Deserialize)]
341pub enum ExtrapolationMethod {
342    Linear,
343    Polynomial { degree: usize },
344    Exponential,
345    Richardson,
346    AdaptivePolynomial,
347}
348
349#[derive(Debug, Clone)]
350pub struct SymmetryOperator {
351    pub name: String,
352    pub operator: Array2<f64>,
353    pub eigenvalues: Array1<f64>,
354    pub symmetry_type: SymmetryType,
355}
356
357#[derive(Debug, Clone, Serialize, Deserialize)]
358pub enum SymmetryType {
359    Parity,
360    TimeReversal,
361    ChargeConjugation,
362    Custom { description: String },
363}
364
365/// Device-specific calibration system
366pub struct CalibrationSystem {
367    /// Calibration routines
368    routines: HashMap<String, Box<dyn CalibrationRoutine>>,
369    /// Device parameters
370    device_parameters: DeviceParameters,
371    /// Calibration scheduler
372    scheduler: CalibrationScheduler,
373    /// History tracking
374    calibration_history: VecDeque<CalibrationRecord>,
375    /// Configuration
376    config: CalibrationConfig,
377}
378
379#[derive(Debug, Clone, Serialize, Deserialize)]
380pub struct CalibrationConfig {
381    /// Automatic calibration enabled
382    pub auto_calibration: bool,
383    /// Calibration frequency
384    pub calibration_frequency: Duration,
385    /// Drift detection threshold
386    pub drift_threshold: f64,
387    /// Precision targets
388    pub precision_targets: HashMap<String, f64>,
389    /// Timeout for calibration procedures
390    pub calibration_timeout: Duration,
391}
392
393pub trait CalibrationRoutine: Send + Sync {
394    fn name(&self) -> &str;
395    fn calibrate(
396        &mut self,
397        device: &mut QuantumDevice,
398    ) -> Result<CalibrationResult, CalibrationError>;
399    fn estimate_duration(&self) -> Duration;
400    fn required_resources(&self) -> ResourceRequirements;
401    fn dependencies(&self) -> Vec<String>;
402}
403
404#[derive(Debug, Clone)]
405pub struct CalibrationResult {
406    /// Calibration success status
407    pub success: bool,
408    /// Updated parameters
409    pub updated_parameters: HashMap<String, f64>,
410    /// Achieved precision
411    pub achieved_precision: HashMap<String, f64>,
412    /// Calibration duration
413    pub duration: Duration,
414    /// Quality metrics
415    pub quality_metrics: CalibrationQualityMetrics,
416    /// Recommendations
417    pub recommendations: Vec<CalibrationRecommendation>,
418}
419
420/// Error syndrome prediction system
421pub struct ErrorSyndromePredictor {
422    /// Machine learning models
423    ml_models: SyndromePredictionModels,
424    /// Pattern recognition engine
425    pattern_recognizer: PatternRecognizer,
426    /// Temporal predictor
427    temporal_predictor: TemporalPredictor,
428    /// Syndrome database
429    syndrome_database: SyndromeDatabase,
430    /// Configuration
431    config: SyndromePredictionConfig,
432}
433
434#[derive(Debug, Clone, Serialize, Deserialize)]
435pub struct SyndromePredictionConfig {
436    /// Prediction horizon
437    pub prediction_horizon: Duration,
438    /// Model update frequency
439    pub model_update_frequency: Duration,
440    /// Confidence threshold
441    pub confidence_threshold: f64,
442    /// Pattern history length
443    pub pattern_history_length: usize,
444    /// Learning parameters
445    pub learning_params: LearningParameters,
446}
447
448#[derive(Debug, Clone, Serialize, Deserialize)]
449pub struct LearningParameters {
450    pub learning_rate: f64,
451    pub batch_size: usize,
452    pub regularization: f64,
453    pub dropout_rate: f64,
454    pub hidden_layers: Vec<usize>,
455}
456
457/// Quantum error correction integrator
458pub struct QECIntegrator {
459    /// Error correction codes
460    error_codes: HashMap<String, Box<dyn ErrorCorrectionCode>>,
461    /// Decoder engines
462    decoders: HashMap<String, Box<dyn Decoder>>,
463    /// Code selector
464    code_selector: CodeSelector,
465    /// Performance tracker
466    performance_tracker: QECPerformanceTracker,
467    /// Configuration
468    config: QECIntegrationConfig,
469}
470
471#[derive(Debug, Clone, Serialize, Deserialize)]
472pub struct QECIntegrationConfig {
473    /// Real-time decoding enabled
474    pub real_time_decoding: bool,
475    /// Adaptive code selection
476    pub adaptive_code_selection: bool,
477    /// Performance optimization
478    pub performance_optimization: bool,
479    /// Error correction threshold
480    pub error_threshold: f64,
481    /// Code switching threshold
482    pub code_switching_threshold: f64,
483}
484
485pub trait ErrorCorrectionCode: Send + Sync {
486    fn name(&self) -> &str;
487    fn distance(&self) -> usize;
488    fn encoding_rate(&self) -> f64;
489    fn threshold(&self) -> f64;
490    fn encode(&self, logical_state: &Array1<f64>) -> Result<Array1<f64>, QECError>;
491    fn syndrome_extraction(&self, state: &Array1<f64>) -> Result<Array1<i32>, QECError>;
492    fn error_lookup(&self, syndrome: &Array1<i32>) -> Result<Array1<i32>, QECError>;
493}
494
495pub trait Decoder: Send + Sync {
496    fn name(&self) -> &str;
497    fn decode(
498        &self,
499        syndrome: &Array1<i32>,
500        code: &dyn ErrorCorrectionCode,
501    ) -> Result<Array1<i32>, DecodingError>;
502    fn confidence(&self) -> f64;
503    fn computational_cost(&self) -> usize;
504}
505
506// Implementation structs for specific components
507
508pub struct ProcessTomography {
509    measurement_settings: Vec<MeasurementSetting>,
510    reconstruction_method: ReconstructionMethod,
511    confidence_level: f64,
512}
513
514#[derive(Debug, Clone)]
515pub struct MeasurementSetting {
516    pub preparation: Array2<f64>,
517    pub measurement: Array2<f64>,
518    pub repetitions: usize,
519}
520
521#[derive(Debug, Clone, Serialize, Deserialize)]
522pub enum ReconstructionMethod {
523    MaximumLikelihood,
524    LeastSquares,
525    BayesianInference,
526    CompressedSensing,
527}
528
529pub struct RandomizedBenchmarking {
530    /// Clifford group generators
531    clifford_generators: Vec<Array2<f64>>,
532    /// Sequence lengths
533    sequence_lengths: Vec<usize>,
534    /// Number of sequences per length
535    sequences_per_length: usize,
536    /// Benchmarking protocol
537    protocol: BenchmarkingProtocol,
538}
539
540#[derive(Debug, Clone, Serialize, Deserialize)]
541pub enum BenchmarkingProtocol {
542    Standard,
543    Interleaved,
544    Simultaneous,
545    Randomized,
546}
547
548#[derive(Debug, Clone, Serialize, Deserialize)]
549pub struct RandomizedBenchmarkingResult {
550    /// Error rate per Clifford
551    pub error_rate_per_clifford: f64,
552    /// Confidence interval
553    pub confidence_interval: (f64, f64),
554    /// Fitting quality
555    pub fitting_quality: f64,
556    /// Sequence fidelities
557    pub sequence_fidelities: HashMap<usize, f64>,
558}
559
560pub struct GateSetTomography {
561    /// Gate set to characterize
562    gate_set: Vec<GateOperation>,
563    /// Fiducial states
564    fiducial_states: Vec<Array1<f64>>,
565    /// Measurement operators
566    measurement_operators: Vec<Array2<f64>>,
567    /// GST protocol
568    protocol: GSTProtocol,
569}
570
571#[derive(Debug, Clone)]
572pub struct GateOperation {
573    pub name: String,
574    pub matrix: Array2<f64>,
575    pub target_qubits: Vec<usize>,
576}
577
578#[derive(Debug, Clone, Serialize, Deserialize)]
579pub enum GSTProtocol {
580    LinearGST,
581    LongSequenceGST,
582    CroppedGST,
583    ExtendedGST,
584}
585
586pub struct NoiseSpectroscopy {
587    /// Spectroscopy methods
588    methods: Vec<SpectroscopyMethod>,
589    /// Frequency analysis
590    frequency_analyzer: FrequencyAnalyzer,
591    /// Noise identification
592    noise_identifier: NoiseIdentifier,
593}
594
595#[derive(Debug, Clone, Serialize, Deserialize)]
596pub enum SpectroscopyMethod {
597    RamseyInterferometry,
598    SpinEcho,
599    CPMG,
600    DDSpectroscopy,
601    CorrelationSpectroscopy,
602}
603
604#[derive(Debug, Clone, Serialize, Deserialize)]
605pub struct SpectroscopyData {
606    /// Frequency points
607    pub frequencies: Array1<f64>,
608    /// Measured signals
609    pub signals: Array1<f64>,
610    /// Noise power spectrum
611    pub power_spectrum: Array1<f64>,
612    /// Identified noise sources
613    pub noise_sources: Vec<NoiseSource>,
614}
615
616#[derive(Debug, Clone, Serialize, Deserialize)]
617pub struct NoiseSource {
618    pub source_type: NoiseSourceType,
619    pub frequency: f64,
620    pub amplitude: f64,
621    pub phase: f64,
622    pub bandwidth: f64,
623}
624
625#[derive(Debug, Clone, Serialize, Deserialize)]
626pub enum NoiseSourceType {
627    WhiteNoise,
628    OneOverFNoise,
629    RTS, // Random Telegraph Signal
630    PeriodicDrift,
631    ThermalFluctuations,
632    ChargeNoise,
633    FluxNoise,
634    InstrumentNoise,
635}
636
637// Additional supporting structures
638
639#[derive(Debug, Clone, Serialize, Deserialize)]
640pub struct ConfidenceIntervals {
641    pub process_fidelity: (f64, f64),
642    pub gate_fidelities: HashMap<String, (f64, f64)>,
643    pub error_rates: HashMap<String, (f64, f64)>,
644    pub coherence_times: HashMap<String, (f64, f64)>,
645}
646
647#[derive(Debug, Clone, Serialize, Deserialize)]
648pub struct CharacterizationQuality {
649    /// Overall quality score
650    pub overall_score: f64,
651    /// Statistical significance
652    pub statistical_significance: f64,
653    /// Model validation score
654    pub model_validation_score: f64,
655    /// Cross-validation results
656    pub cross_validation_results: Vec<f64>,
657    /// Residual analysis
658    pub residual_analysis: ResidualAnalysis,
659}
660
661#[derive(Debug, Clone, Serialize, Deserialize)]
662pub struct ResidualAnalysis {
663    pub mean_residual: f64,
664    pub residual_variance: f64,
665    pub normality_test_p_value: f64,
666    pub autocorrelation_coefficients: Array1<f64>,
667}
668
669// Error types
670#[derive(Debug, Clone)]
671pub enum MitigationError {
672    NoiseCharacterizationFailed(String),
673    ProtocolApplicationFailed(String),
674    CalibrationFailed(String),
675    PredictionFailed(String),
676    QECError(String),
677    InvalidParameters(String),
678    InsufficientData(String),
679    ComputationTimeout(String),
680}
681
682#[derive(Debug, Clone)]
683pub enum CalibrationError {
684    DeviceNotResponding(String),
685    CalibrationTimeout(String),
686    PrecisionNotAchieved(String),
687    ResourceUnavailable(String),
688    InvalidConfiguration(String),
689}
690
691#[derive(Debug, Clone)]
692pub enum QECError {
693    InvalidCode(String),
694    DecodingFailed(String),
695    ThresholdExceeded(String),
696    EncodingFailed(String),
697}
698
699#[derive(Debug, Clone)]
700pub enum DecodingError {
701    SyndromeInvalid(String),
702    DecodingTimeout(String),
703    AmbiguousCorrection(String),
704    InsufficientData(String),
705}
706
707// Placeholder types (would be properly defined in full implementation)
708pub type QuantumCircuit = Vec<String>; // Simplified
709pub type QuantumDevice = HashMap<String, f64>; // Simplified
710pub type Pulse = (f64, f64, f64); // (amplitude, frequency, duration)
711pub type PulseSequence = Vec<Pulse>;
712
713#[derive(Debug, Clone)]
714pub struct MitigatedResult {
715    pub original_result: Array1<f64>,
716    pub mitigated_result: Array1<f64>,
717    pub mitigation_overhead: f64,
718    pub confidence: f64,
719}
720
721#[derive(Debug, Clone)]
722pub struct DeviceParameters {
723    pub qubit_frequencies: Array1<f64>,
724    pub coupling_strengths: Array2<f64>,
725    pub gate_times: HashMap<String, f64>,
726    pub readout_fidelities: Array1<f64>,
727}
728
729#[derive(Debug, Clone)]
730pub struct CalibrationRecord {
731    pub timestamp: SystemTime,
732    pub procedure: String,
733    pub result: CalibrationResult,
734    pub device_state_before: DeviceParameters,
735    pub device_state_after: DeviceParameters,
736}
737
738#[derive(Debug, Clone)]
739pub struct CalibrationScheduler {
740    pub schedule: BTreeMap<SystemTime, String>,
741    pub priority_queue: VecDeque<(String, f64)>,
742    pub resource_allocation: HashMap<String, f64>,
743}
744
745#[derive(Debug, Clone)]
746pub struct ResourceRequirements {
747    pub qubits_needed: Vec<usize>,
748    pub estimated_duration: Duration,
749    pub classical_compute: f64,
750    pub measurement_shots: usize,
751}
752
753#[derive(Debug, Clone)]
754pub struct CalibrationQualityMetrics {
755    pub fidelity_improvement: f64,
756    pub parameter_stability: f64,
757    pub convergence_rate: f64,
758    pub reproducibility: f64,
759}
760
761#[derive(Debug, Clone)]
762pub struct CalibrationRecommendation {
763    pub recommendation_type: RecommendationType,
764    pub description: String,
765    pub priority: f64,
766    pub estimated_benefit: f64,
767}
768
769#[derive(Debug, Clone, Serialize, Deserialize)]
770pub enum RecommendationType {
771    RecalibrateQubit(usize),
772    AdjustPulseParameters,
773    UpdateControlSoftware,
774    PerformMaintenance,
775    ReplaceComponent,
776}
777
778#[derive(Debug, Clone)]
779pub struct SyndromePredictionModels {
780    pub neural_network: NeuralNetworkModel,
781    pub ensemble_model: EnsembleModel,
782    pub bayesian_model: BayesianModel,
783}
784
785#[derive(Debug, Clone)]
786pub struct PatternRecognizer {
787    pub pattern_database: Vec<ErrorPattern>,
788    pub similarity_metrics: Vec<SimilarityMetric>,
789    pub classification_models: Vec<ClassificationModel>,
790}
791
792#[derive(Debug, Clone)]
793pub struct TemporalPredictor {
794    pub time_series_models: Vec<TimeSeriesModel>,
795    pub prediction_confidence: f64,
796    pub forecast_horizon: Duration,
797}
798
799#[derive(Debug, Clone)]
800pub struct SyndromeDatabase {
801    pub historical_syndromes: VecDeque<SyndromeRecord>,
802    pub pattern_library: HashMap<String, ErrorPattern>,
803    pub statistics: SyndromeStatistics,
804}
805
806#[derive(Debug, Clone)]
807pub struct CodeSelector {
808    pub selection_criteria: SelectionCriteria,
809    pub performance_database: HashMap<String, CodePerformance>,
810    pub adaptive_threshold: f64,
811}
812
813#[derive(Debug, Clone)]
814pub struct QECPerformanceTracker {
815    pub logical_error_rates: HashMap<String, f64>,
816    pub decoding_times: HashMap<String, Duration>,
817    pub resource_overhead: HashMap<String, f64>,
818    pub success_rates: HashMap<String, f64>,
819}
820
821// Simplified placeholder implementations for complex types
822#[derive(Debug, Clone)]
823pub struct NeuralNetworkModel {
824    pub layers: Vec<usize>,
825}
826
827#[derive(Debug, Clone)]
828pub struct EnsembleModel {
829    pub models: Vec<String>,
830}
831
832#[derive(Debug, Clone)]
833pub struct BayesianModel {
834    pub prior: String,
835}
836
837#[derive(Debug, Clone)]
838pub struct ErrorPattern {
839    pub pattern_id: String,
840    pub syndrome_sequence: Vec<Array1<i32>>,
841    pub probability: f64,
842}
843
844#[derive(Debug, Clone)]
845pub struct SimilarityMetric {
846    pub name: String,
847    pub threshold: f64,
848}
849
850#[derive(Debug, Clone)]
851pub struct ClassificationModel {
852    pub model_type: String,
853    pub accuracy: f64,
854}
855
856#[derive(Debug, Clone)]
857pub struct TimeSeriesModel {
858    pub model_type: String,
859    pub parameters: HashMap<String, f64>,
860}
861
862#[derive(Debug, Clone)]
863pub struct SyndromeRecord {
864    pub timestamp: SystemTime,
865    pub syndrome: Array1<i32>,
866    pub context: HashMap<String, f64>,
867}
868
869#[derive(Debug, Clone)]
870pub struct SyndromeStatistics {
871    pub occurrence_rates: HashMap<String, f64>,
872    pub temporal_patterns: Vec<TemporalPattern>,
873    pub correlation_matrix: Array2<f64>,
874}
875
876#[derive(Debug, Clone)]
877pub struct TemporalPattern {
878    pub pattern_name: String,
879    pub time_scale: Duration,
880    pub strength: f64,
881}
882
883#[derive(Debug, Clone)]
884pub struct SelectionCriteria {
885    pub error_rate_threshold: f64,
886    pub resource_constraints: ResourceConstraints,
887    pub performance_requirements: PerformanceRequirements,
888}
889
890#[derive(Debug, Clone)]
891pub struct ResourceConstraints {
892    pub max_qubits: usize,
893    pub max_time: Duration,
894    pub max_classical_compute: f64,
895}
896
897#[derive(Debug, Clone)]
898pub struct PerformanceRequirements {
899    pub min_threshold: f64,
900    pub target_logical_error_rate: f64,
901    pub max_decoding_time: Duration,
902}
903
904#[derive(Debug, Clone)]
905pub struct CodePerformance {
906    pub logical_error_rate: f64,
907    pub threshold: f64,
908    pub resource_overhead: f64,
909    pub decoding_complexity: usize,
910}
911
912#[derive(Debug, Clone)]
913pub struct ProtocolSelector {
914    pub selection_algorithm: SelectionAlgorithm,
915    pub performance_history: HashMap<String, Vec<f64>>,
916    pub cost_model: CostModel,
917}
918
919#[derive(Debug, Clone, Serialize, Deserialize)]
920pub enum SelectionAlgorithm {
921    GreedySelection,
922    GeneticAlgorithm,
923    SimulatedAnnealing,
924    ReinforcementLearning,
925    MultiObjectiveOptimization,
926}
927
928#[derive(Debug, Clone)]
929pub struct CostModel {
930    pub time_cost_weight: f64,
931    pub resource_cost_weight: f64,
932    pub overhead_cost_weight: f64,
933    pub accuracy_benefit_weight: f64,
934}
935
936#[derive(Debug, Clone)]
937pub struct ParameterOptimizer {
938    pub optimization_method: OptimizationMethod,
939    pub parameter_bounds: HashMap<String, (f64, f64)>,
940    pub objective_function: ObjectiveFunction,
941}
942
943#[derive(Debug, Clone, Serialize, Deserialize)]
944pub enum OptimizationMethod {
945    GradientDescent,
946    BayesianOptimization,
947    ParticleSwarmOptimization,
948    DifferentialEvolution,
949    NelderMead,
950}
951
952#[derive(Debug, Clone)]
953pub struct ObjectiveFunction {
954    pub primary_metric: String,
955    pub constraints: Vec<Constraint>,
956    pub weights: HashMap<String, f64>,
957}
958
959#[derive(Debug, Clone)]
960pub struct Constraint {
961    pub parameter: String,
962    pub constraint_type: ConstraintType,
963    pub value: f64,
964}
965
966#[derive(Debug, Clone, Serialize, Deserialize)]
967pub enum ConstraintType {
968    LessThan,
969    GreaterThan,
970    Equal,
971    Between(f64, f64),
972}
973
974#[derive(Debug, Clone)]
975pub struct PerformanceMonitor {
976    pub metrics_history: VecDeque<PerformanceMetrics>,
977    pub alert_thresholds: HashMap<String, f64>,
978    pub monitoring_interval: Duration,
979}
980
981#[derive(Debug, Clone)]
982pub struct PerformanceMetrics {
983    pub timestamp: SystemTime,
984    pub fidelity_improvement: f64,
985    pub computational_overhead: f64,
986    pub success_rate: f64,
987    pub error_reduction: f64,
988}
989
990#[derive(Debug, Clone)]
991pub struct FrequencyAnalyzer {
992    pub fft_window_size: usize,
993    pub frequency_resolution: f64,
994    pub windowing_function: WindowingFunction,
995}
996
997#[derive(Debug, Clone, Serialize, Deserialize)]
998pub enum WindowingFunction {
999    Hanning,
1000    Hamming,
1001    Blackman,
1002    Kaiser { beta: f64 },
1003    Gaussian { sigma: f64 },
1004}
1005
1006#[derive(Debug, Clone)]
1007pub struct NoiseIdentifier {
1008    pub identification_algorithms: Vec<IdentificationAlgorithm>,
1009    pub noise_model_library: HashMap<String, NoiseModel>,
1010    pub confidence_threshold: f64,
1011}
1012
1013#[derive(Debug, Clone, Serialize, Deserialize)]
1014pub enum IdentificationAlgorithm {
1015    TemplateMatching,
1016    MachineLearning,
1017    SpectralAnalysis,
1018    StatisticalTesting,
1019    PatternRecognition,
1020}
1021
1022#[derive(Debug, Clone)]
1023pub struct CalibrationStatus {
1024    pub overall_status: CalibrationOverallStatus,
1025    pub individual_calibrations: HashMap<String, IndividualCalibrationStatus>,
1026    pub last_full_calibration: SystemTime,
1027    pub next_scheduled_calibration: SystemTime,
1028    pub drift_indicators: HashMap<String, f64>,
1029}
1030
1031#[derive(Debug, Clone, Serialize, Deserialize)]
1032pub enum CalibrationOverallStatus {
1033    Excellent,
1034    Good,
1035    Degraded,
1036    Poor,
1037    CalibrationRequired,
1038}
1039
1040#[derive(Debug, Clone)]
1041pub struct IndividualCalibrationStatus {
1042    pub parameter_name: String,
1043    pub current_value: f64,
1044    pub target_value: f64,
1045    pub tolerance: f64,
1046    pub drift_rate: f64,
1047    pub last_calibrated: SystemTime,
1048    pub status: ParameterStatus,
1049}
1050
1051#[derive(Debug, Clone, Serialize, Deserialize)]
1052pub enum ParameterStatus {
1053    InTolerance,
1054    NearLimit,
1055    OutOfTolerance,
1056    Drifting,
1057    Unstable,
1058}
1059
1060#[derive(Debug, Clone)]
1061pub struct ErrorStatistics {
1062    pub total_errors_detected: usize,
1063    pub error_rates_by_type: HashMap<String, f64>,
1064    pub temporal_error_distribution: Array1<f64>,
1065    pub spatial_error_distribution: Array2<f64>,
1066    pub mitigation_effectiveness: HashMap<String, f64>,
1067    pub prediction_accuracy: f64,
1068}
1069
1070// Implementation methods for the main manager
1071impl AdvancedErrorMitigationManager {
1072    /// Create a new advanced error mitigation manager
1073    pub fn new(config: ErrorMitigationConfig) -> Self {
1074        let initial_state = MitigationState {
1075            current_noise_model: NoiseModel::default(),
1076            active_protocols: Vec::new(),
1077            calibration_status: CalibrationStatus::default(),
1078            error_statistics: ErrorStatistics::default(),
1079            last_update: SystemTime::now(),
1080        };
1081
1082        Self {
1083            noise_characterizer: NoiseCharacterizer::new(&config),
1084            mitigation_engine: AdaptiveMitigationEngine::new(&config),
1085            calibration_system: CalibrationSystem::new(&config),
1086            syndrome_predictor: ErrorSyndromePredictor::new(&config),
1087            qec_integrator: QECIntegrator::new(&config),
1088            config,
1089            state: Arc::new(RwLock::new(initial_state)),
1090        }
1091    }
1092
1093    /// Start real-time monitoring and mitigation
1094    pub fn start_monitoring(&mut self) -> Result<(), MitigationError> {
1095        if !self.config.real_time_monitoring {
1096            return Err(MitigationError::InvalidParameters(
1097                "Real-time monitoring is disabled".to_string(),
1098            ));
1099        }
1100
1101        // Start noise characterization
1102        self.noise_characterizer.start_continuous_monitoring()?;
1103
1104        // Initialize adaptive protocols
1105        if self.config.adaptive_protocols {
1106            self.mitigation_engine.initialize_protocols()?;
1107        }
1108
1109        // Start calibration monitoring
1110        if self.config.device_calibration {
1111            self.calibration_system.start_monitoring()?;
1112        }
1113
1114        // Initialize syndrome prediction
1115        if self.config.syndrome_prediction {
1116            self.syndrome_predictor.initialize()?;
1117        }
1118
1119        Ok(())
1120    }
1121
1122    /// Perform comprehensive error characterization
1123    pub fn characterize_errors(
1124        &mut self,
1125        device: &QuantumDevice,
1126    ) -> Result<NoiseCharacterizationResult, MitigationError> {
1127        self.noise_characterizer.full_characterization(device)
1128    }
1129
1130    /// Apply adaptive error mitigation to a quantum circuit
1131    pub fn apply_mitigation(
1132        &self,
1133        circuit: &QuantumCircuit,
1134    ) -> Result<MitigatedResult, MitigationError> {
1135        let state = self.state.read().map_err(|e| {
1136            MitigationError::InvalidParameters(format!("Failed to acquire read lock: {e}"))
1137        })?;
1138        let noise_model = &state.current_noise_model;
1139
1140        self.mitigation_engine
1141            .apply_optimal_mitigation(circuit, noise_model)
1142    }
1143
1144    /// Predict error syndromes for upcoming operations
1145    pub const fn predict_syndromes(
1146        &self,
1147        circuit: &QuantumCircuit,
1148        horizon: Duration,
1149    ) -> Result<Vec<SyndromePrediction>, MitigationError> {
1150        self.syndrome_predictor.predict_syndromes(circuit, horizon)
1151    }
1152
1153    /// Integrate with quantum error correction
1154    pub fn integrate_qec(
1155        &mut self,
1156        code_name: &str,
1157        circuit: &QuantumCircuit,
1158    ) -> Result<QECIntegrationResult, MitigationError> {
1159        let state = self.state.read().map_err(|e| {
1160            MitigationError::InvalidParameters(format!("Failed to acquire read lock: {e}"))
1161        })?;
1162        let noise_model = &state.current_noise_model;
1163
1164        self.qec_integrator
1165            .integrate_error_correction(code_name, circuit, noise_model)
1166    }
1167
1168    /// Get current system status
1169    pub fn get_status(&self) -> Result<MitigationState, MitigationError> {
1170        self.state.read().map(|guard| guard.clone()).map_err(|e| {
1171            MitigationError::InvalidParameters(format!("Failed to acquire read lock: {e}"))
1172        })
1173    }
1174
1175    /// Update system configuration
1176    pub fn update_config(
1177        &mut self,
1178        new_config: ErrorMitigationConfig,
1179    ) -> Result<(), MitigationError> {
1180        self.config = new_config;
1181
1182        // Update all subsystems
1183        self.noise_characterizer.update_config(&self.config)?;
1184        self.mitigation_engine.update_config(&self.config)?;
1185        self.calibration_system.update_config(&self.config)?;
1186        self.syndrome_predictor.update_config(&self.config)?;
1187        self.qec_integrator.update_config(&self.config)?;
1188
1189        Ok(())
1190    }
1191}
1192
1193// Default implementations for placeholder types
1194impl Default for NoiseModel {
1195    fn default() -> Self {
1196        Self {
1197            single_qubit_errors: HashMap::new(),
1198            two_qubit_errors: HashMap::new(),
1199            crosstalk_matrix: Array2::zeros((1, 1)),
1200            temporal_correlations: TemporalCorrelationModel::default(),
1201            environmental_noise: EnvironmentalNoiseModel::default(),
1202            validation_score: 0.0,
1203        }
1204    }
1205}
1206
1207impl Default for TemporalCorrelationModel {
1208    fn default() -> Self {
1209        Self {
1210            autocorrelation: Array1::zeros(1),
1211            power_spectrum: Array1::zeros(1),
1212            timescales: Vec::new(),
1213            one_over_f_params: OneOverFParameters::default(),
1214        }
1215    }
1216}
1217
1218impl Default for OneOverFParameters {
1219    fn default() -> Self {
1220        Self {
1221            amplitude: 0.0,
1222            exponent: 1.0,
1223            cutoff_frequency: 1.0,
1224            high_freq_rolloff: 0.0,
1225        }
1226    }
1227}
1228
1229impl Default for EnvironmentalNoiseModel {
1230    fn default() -> Self {
1231        Self {
1232            temperature_noise: 0.0,
1233            magnetic_noise: 0.0,
1234            electric_noise: 0.0,
1235            vibration_sensitivity: 0.0,
1236            control_line_noise: HashMap::new(),
1237        }
1238    }
1239}
1240
1241impl Default for CalibrationStatus {
1242    fn default() -> Self {
1243        Self {
1244            overall_status: CalibrationOverallStatus::Good,
1245            individual_calibrations: HashMap::new(),
1246            last_full_calibration: SystemTime::now(),
1247            next_scheduled_calibration: SystemTime::now(),
1248            drift_indicators: HashMap::new(),
1249        }
1250    }
1251}
1252
1253impl Default for ErrorStatistics {
1254    fn default() -> Self {
1255        Self {
1256            total_errors_detected: 0,
1257            error_rates_by_type: HashMap::new(),
1258            temporal_error_distribution: Array1::zeros(1),
1259            spatial_error_distribution: Array2::zeros((1, 1)),
1260            mitigation_effectiveness: HashMap::new(),
1261            prediction_accuracy: 0.0,
1262        }
1263    }
1264}
1265
1266// Stub implementations for component constructors
1267impl NoiseCharacterizer {
1268    pub fn new(_config: &ErrorMitigationConfig) -> Self {
1269        Self {
1270            process_tomography: ProcessTomography {
1271                measurement_settings: Vec::new(),
1272                reconstruction_method: ReconstructionMethod::MaximumLikelihood,
1273                confidence_level: 0.95,
1274            },
1275            randomized_benchmarking: RandomizedBenchmarking {
1276                clifford_generators: Vec::new(),
1277                sequence_lengths: vec![1, 2, 4, 8, 16, 32],
1278                sequences_per_length: 50,
1279                protocol: BenchmarkingProtocol::Standard,
1280            },
1281            gate_set_tomography: GateSetTomography {
1282                gate_set: Vec::new(),
1283                fiducial_states: Vec::new(),
1284                measurement_operators: Vec::new(),
1285                protocol: GSTProtocol::LinearGST,
1286            },
1287            noise_spectroscopy: NoiseSpectroscopy {
1288                methods: vec![SpectroscopyMethod::RamseyInterferometry],
1289                frequency_analyzer: FrequencyAnalyzer {
1290                    fft_window_size: 1024,
1291                    frequency_resolution: 1e-3,
1292                    windowing_function: WindowingFunction::Hanning,
1293                },
1294                noise_identifier: NoiseIdentifier {
1295                    identification_algorithms: vec![IdentificationAlgorithm::SpectralAnalysis],
1296                    noise_model_library: HashMap::new(),
1297                    confidence_threshold: 0.9,
1298                },
1299            },
1300            config: NoiseCharacterizationConfig {
1301                sampling_frequency: 1000.0,
1302                benchmarking_sequences: 100,
1303                tomography_protocol: TomographyProtocol::MaximumLikelihood,
1304                spectroscopy_config: SpectroscopyConfig {
1305                    frequency_range: (1e-6, 1e6),
1306                    frequency_points: 1000,
1307                    measurement_time: Duration::from_millis(1),
1308                    processing_window: ProcessingWindow::Hanning,
1309                },
1310                history_length: 1000,
1311            },
1312            history: VecDeque::new(),
1313        }
1314    }
1315
1316    pub const fn start_continuous_monitoring(&mut self) -> Result<(), MitigationError> {
1317        // Implementation stub
1318        Ok(())
1319    }
1320
1321    pub fn full_characterization(
1322        &mut self,
1323        _device: &QuantumDevice,
1324    ) -> Result<NoiseCharacterizationResult, MitigationError> {
1325        // Implementation stub
1326        Ok(NoiseCharacterizationResult {
1327            timestamp: SystemTime::now(),
1328            noise_model: NoiseModel::default(),
1329            process_matrices: HashMap::new(),
1330            benchmarking_results: RandomizedBenchmarkingResult {
1331                error_rate_per_clifford: 0.001,
1332                confidence_interval: (0.0008, 0.0012),
1333                fitting_quality: 0.95,
1334                sequence_fidelities: HashMap::new(),
1335            },
1336            spectroscopy_data: SpectroscopyData {
1337                frequencies: Array1::zeros(1),
1338                signals: Array1::zeros(1),
1339                power_spectrum: Array1::zeros(1),
1340                noise_sources: Vec::new(),
1341            },
1342            confidence_intervals: ConfidenceIntervals {
1343                process_fidelity: (0.98, 0.99),
1344                gate_fidelities: HashMap::new(),
1345                error_rates: HashMap::new(),
1346                coherence_times: HashMap::new(),
1347            },
1348            quality_metrics: CharacterizationQuality {
1349                overall_score: 0.9,
1350                statistical_significance: 0.95,
1351                model_validation_score: 0.85,
1352                cross_validation_results: vec![0.8, 0.85, 0.9],
1353                residual_analysis: ResidualAnalysis {
1354                    mean_residual: 0.001,
1355                    residual_variance: 0.0001,
1356                    normality_test_p_value: 0.05,
1357                    autocorrelation_coefficients: Array1::zeros(1),
1358                },
1359            },
1360        })
1361    }
1362
1363    pub const fn update_config(
1364        &mut self,
1365        _config: &ErrorMitigationConfig,
1366    ) -> Result<(), MitigationError> {
1367        Ok(())
1368    }
1369
1370    /// Get a reference to the noise characterization history
1371    pub const fn history(&self) -> &VecDeque<NoiseCharacterizationResult> {
1372        &self.history
1373    }
1374
1375    /// Get a reference to the noise characterization config
1376    pub const fn config(&self) -> &NoiseCharacterizationConfig {
1377        &self.config
1378    }
1379}
1380
1381impl AdaptiveMitigationEngine {
1382    pub fn new(_config: &ErrorMitigationConfig) -> Self {
1383        Self {
1384            protocols: Vec::new(),
1385            protocol_selector: ProtocolSelector {
1386                selection_algorithm: SelectionAlgorithm::GreedySelection,
1387                performance_history: HashMap::new(),
1388                cost_model: CostModel {
1389                    time_cost_weight: 1.0,
1390                    resource_cost_weight: 1.0,
1391                    overhead_cost_weight: 1.0,
1392                    accuracy_benefit_weight: 2.0,
1393                },
1394            },
1395            parameter_optimizer: ParameterOptimizer {
1396                optimization_method: OptimizationMethod::BayesianOptimization,
1397                parameter_bounds: HashMap::new(),
1398                objective_function: ObjectiveFunction {
1399                    primary_metric: "fidelity".to_string(),
1400                    constraints: Vec::new(),
1401                    weights: HashMap::new(),
1402                },
1403            },
1404            performance_monitor: PerformanceMonitor {
1405                metrics_history: VecDeque::new(),
1406                alert_thresholds: HashMap::new(),
1407                monitoring_interval: Duration::from_secs(60),
1408            },
1409            config: AdaptiveMitigationConfig {
1410                update_frequency: Duration::from_secs(300),
1411                monitoring_window: Duration::from_secs(3600),
1412                adaptation_threshold: 0.05,
1413                max_active_protocols: 3,
1414                learning_rate: 0.01,
1415            },
1416        }
1417    }
1418
1419    pub const fn initialize_protocols(&mut self) -> Result<(), MitigationError> {
1420        Ok(())
1421    }
1422
1423    pub fn apply_optimal_mitigation(
1424        &self,
1425        _circuit: &QuantumCircuit,
1426        _noise_model: &NoiseModel,
1427    ) -> Result<MitigatedResult, MitigationError> {
1428        Ok(MitigatedResult {
1429            original_result: Array1::zeros(1),
1430            mitigated_result: Array1::zeros(1),
1431            mitigation_overhead: 2.0,
1432            confidence: 0.9,
1433        })
1434    }
1435
1436    pub const fn update_config(
1437        &mut self,
1438        _config: &ErrorMitigationConfig,
1439    ) -> Result<(), MitigationError> {
1440        Ok(())
1441    }
1442}
1443
1444impl CalibrationSystem {
1445    pub fn new(_config: &ErrorMitigationConfig) -> Self {
1446        Self {
1447            routines: HashMap::new(),
1448            device_parameters: DeviceParameters {
1449                qubit_frequencies: Array1::zeros(1),
1450                coupling_strengths: Array2::zeros((1, 1)),
1451                gate_times: HashMap::new(),
1452                readout_fidelities: Array1::zeros(1),
1453            },
1454            scheduler: CalibrationScheduler {
1455                schedule: BTreeMap::new(),
1456                priority_queue: VecDeque::new(),
1457                resource_allocation: HashMap::new(),
1458            },
1459            calibration_history: VecDeque::new(),
1460            config: CalibrationConfig {
1461                auto_calibration: true,
1462                calibration_frequency: Duration::from_secs(3600),
1463                drift_threshold: 0.01,
1464                precision_targets: HashMap::new(),
1465                calibration_timeout: Duration::from_secs(300),
1466            },
1467        }
1468    }
1469
1470    pub const fn start_monitoring(&mut self) -> Result<(), MitigationError> {
1471        Ok(())
1472    }
1473
1474    pub const fn update_config(
1475        &mut self,
1476        _config: &ErrorMitigationConfig,
1477    ) -> Result<(), MitigationError> {
1478        Ok(())
1479    }
1480}
1481
1482impl ErrorSyndromePredictor {
1483    pub fn new(_config: &ErrorMitigationConfig) -> Self {
1484        Self {
1485            ml_models: SyndromePredictionModels {
1486                neural_network: NeuralNetworkModel {
1487                    layers: vec![64, 32, 16],
1488                },
1489                ensemble_model: EnsembleModel {
1490                    models: vec!["RF".to_string(), "SVM".to_string()],
1491                },
1492                bayesian_model: BayesianModel {
1493                    prior: "Normal".to_string(),
1494                },
1495            },
1496            pattern_recognizer: PatternRecognizer {
1497                pattern_database: Vec::new(),
1498                similarity_metrics: Vec::new(),
1499                classification_models: Vec::new(),
1500            },
1501            temporal_predictor: TemporalPredictor {
1502                time_series_models: Vec::new(),
1503                prediction_confidence: 0.8,
1504                forecast_horizon: Duration::from_secs(300),
1505            },
1506            syndrome_database: SyndromeDatabase {
1507                historical_syndromes: VecDeque::new(),
1508                pattern_library: HashMap::new(),
1509                statistics: SyndromeStatistics {
1510                    occurrence_rates: HashMap::new(),
1511                    temporal_patterns: Vec::new(),
1512                    correlation_matrix: Array2::zeros((1, 1)),
1513                },
1514            },
1515            config: SyndromePredictionConfig {
1516                prediction_horizon: Duration::from_secs(300),
1517                model_update_frequency: Duration::from_secs(1800),
1518                confidence_threshold: 0.8,
1519                pattern_history_length: 1000,
1520                learning_params: LearningParameters {
1521                    learning_rate: 0.001,
1522                    batch_size: 32,
1523                    regularization: 0.01,
1524                    dropout_rate: 0.1,
1525                    hidden_layers: vec![64, 32],
1526                },
1527            },
1528        }
1529    }
1530
1531    pub const fn initialize(&mut self) -> Result<(), MitigationError> {
1532        Ok(())
1533    }
1534
1535    pub const fn predict_syndromes(
1536        &self,
1537        _circuit: &QuantumCircuit,
1538        _horizon: Duration,
1539    ) -> Result<Vec<SyndromePrediction>, MitigationError> {
1540        Ok(Vec::new())
1541    }
1542
1543    pub const fn update_config(
1544        &mut self,
1545        _config: &ErrorMitigationConfig,
1546    ) -> Result<(), MitigationError> {
1547        Ok(())
1548    }
1549}
1550
1551impl QECIntegrator {
1552    pub fn new(_config: &ErrorMitigationConfig) -> Self {
1553        Self {
1554            error_codes: HashMap::new(),
1555            decoders: HashMap::new(),
1556            code_selector: CodeSelector {
1557                selection_criteria: SelectionCriteria {
1558                    error_rate_threshold: 0.01,
1559                    resource_constraints: ResourceConstraints {
1560                        max_qubits: 100,
1561                        max_time: Duration::from_secs(60),
1562                        max_classical_compute: 1000.0,
1563                    },
1564                    performance_requirements: PerformanceRequirements {
1565                        min_threshold: 0.001,
1566                        target_logical_error_rate: 1e-9,
1567                        max_decoding_time: Duration::from_millis(1),
1568                    },
1569                },
1570                performance_database: HashMap::new(),
1571                adaptive_threshold: 0.5,
1572            },
1573            performance_tracker: QECPerformanceTracker {
1574                logical_error_rates: HashMap::new(),
1575                decoding_times: HashMap::new(),
1576                resource_overhead: HashMap::new(),
1577                success_rates: HashMap::new(),
1578            },
1579            config: QECIntegrationConfig {
1580                real_time_decoding: true,
1581                adaptive_code_selection: true,
1582                performance_optimization: true,
1583                error_threshold: 0.01,
1584                code_switching_threshold: 0.05,
1585            },
1586        }
1587    }
1588
1589    pub const fn integrate_error_correction(
1590        &self,
1591        _code_name: &str,
1592        _circuit: &QuantumCircuit,
1593        _noise_model: &NoiseModel,
1594    ) -> Result<QECIntegrationResult, MitigationError> {
1595        Ok(QECIntegrationResult {
1596            logical_circuit: Vec::new(),
1597            physical_circuit: Vec::new(),
1598            decoding_schedule: Vec::new(),
1599            resource_overhead: 5.0,
1600            expected_logical_error_rate: 1e-6,
1601        })
1602    }
1603
1604    pub const fn update_config(
1605        &mut self,
1606        _config: &ErrorMitigationConfig,
1607    ) -> Result<(), MitigationError> {
1608        Ok(())
1609    }
1610}
1611
1612// Additional result types
1613#[derive(Debug, Clone)]
1614pub struct SyndromePrediction {
1615    pub predicted_syndrome: Array1<i32>,
1616    pub confidence: f64,
1617    pub time_to_occurrence: Duration,
1618    pub mitigation_recommendation: String,
1619}
1620
1621#[derive(Debug, Clone)]
1622pub struct QECIntegrationResult {
1623    pub logical_circuit: Vec<String>,
1624    pub physical_circuit: Vec<String>,
1625    pub decoding_schedule: Vec<String>,
1626    pub resource_overhead: f64,
1627    pub expected_logical_error_rate: f64,
1628}
1629
1630/// Create a default advanced error mitigation manager
1631pub fn create_advanced_error_mitigation_manager() -> AdvancedErrorMitigationManager {
1632    AdvancedErrorMitigationManager::new(ErrorMitigationConfig::default())
1633}
1634
1635/// Create a lightweight error mitigation manager for testing
1636pub fn create_lightweight_error_mitigation_manager() -> AdvancedErrorMitigationManager {
1637    let config = ErrorMitigationConfig {
1638        real_time_monitoring: false,
1639        adaptive_protocols: true,
1640        device_calibration: false,
1641        syndrome_prediction: false,
1642        qec_integration: false,
1643        monitoring_interval: Duration::from_secs(1),
1644        calibration_interval: Duration::from_secs(3600),
1645        noise_update_threshold: 0.1,
1646        mitigation_threshold: 0.2,
1647        history_retention: Duration::from_secs(3600),
1648    };
1649
1650    AdvancedErrorMitigationManager::new(config)
1651}
quantrs2_tytan/advanced_error_mitigation.rs

quantrs2_tytan/
advanced_error_mitigation.rs
