quantrs2_device/dynamical_decoupling/
mod.rs

1//! Dynamical Decoupling Sequences with SciRS2 optimization
2//!
3//! This module provides comprehensive dynamical decoupling (DD) sequence generation,
4//! optimization, and analysis using SciRS2's advanced optimization and statistical capabilities
5//! for robust coherence preservation on quantum hardware.
6pub mod adaptive;
7pub mod analysis;
8pub mod config;
9pub mod executor;
10pub mod fallback_scirs2;
11pub mod hardware;
12pub mod noise;
13pub mod optimization;
14pub mod performance;
15pub mod sequences;
16#[cfg(test)]
17pub mod test_suite;
18pub mod validation;
19use crate::{
20    backend_traits::{query_backend_capabilities, BackendCapabilities},
21    calibration::{CalibrationManager, DeviceCalibration},
22    noise_model::CalibrationNoiseModel,
23    topology::HardwareTopology,
24    translation::HardwareBackend,
25    CircuitResult, DeviceError, DeviceResult,
26};
27pub use adaptive::*;
28pub use analysis::*;
29pub use config::*;
30pub use hardware::*;
31pub use noise::*;
32pub use optimization::*;
33pub use performance::*;
34use quantrs2_circuit::prelude::*;
35use quantrs2_core::{
36    error::{QuantRS2Error, QuantRS2Result},
37    gate::GateOp,
38    qubit::QubitId,
39};
40pub use sequences::*;
41use std::collections::HashMap;
42use std::time::{Duration, Instant};
43/// Main result type for dynamical decoupling operations
44#[derive(Debug, Clone)]
45pub struct DynamicalDecouplingResult {
46    /// Optimized DD sequence
47    pub optimized_sequence: DDSequence,
48    /// Execution timing
49    pub execution_time: Duration,
50    /// Success status
51    pub success: bool,
52    /// Quality metrics
53    pub quality_score: f64,
54    /// Performance analysis
55    pub performance_analysis: Option<DDPerformanceAnalysis>,
56    /// Noise analysis
57    pub noise_analysis: Option<DDNoiseAnalysis>,
58    /// Hardware analysis
59    pub hardware_analysis: Option<DDHardwareAnalysis>,
60    /// Adaptation statistics
61    pub adaptation_stats: Option<AdaptationStatistics>,
62}
63/// Comprehensive DD system manager
64pub struct DynamicalDecouplingManager {
65    /// System configuration
66    pub config: DynamicalDecouplingConfig,
67    /// Adaptive DD system
68    pub adaptive_system: Option<AdaptiveDDSystem>,
69    /// Performance analyzer
70    pub performance_analyzer: DDPerformanceAnalyzer,
71    /// Noise analyzer
72    pub noise_analyzer: DDNoiseAnalyzer,
73    /// Hardware analyzer
74    pub hardware_analyzer: DDHardwareAnalyzer,
75    /// Sequence optimizer
76    pub sequence_optimizer: DDSequenceOptimizer,
77    /// Sequence cache
78    pub sequence_cache: SequenceCache,
79    /// Multi-qubit coordinator
80    pub multi_qubit_coordinator: Option<MultiQubitDDCoordinator>,
81}
82impl DynamicalDecouplingManager {
83    /// Create new DD manager
84    pub fn new(
85        config: DynamicalDecouplingConfig,
86        device_id: String,
87        topology: Option<crate::topology::HardwareTopology>,
88        calibration_manager: Option<crate::calibration::CalibrationManager>,
89    ) -> Self {
90        let performance_analyzer = DDPerformanceAnalyzer::new(config.performance_config.clone());
91        let noise_analyzer = DDNoiseAnalyzer::new(config.noise_characterization.clone());
92        let hardware_analyzer = DDHardwareAnalyzer::new(
93            config.hardware_adaptation.clone(),
94            calibration_manager,
95            topology,
96        );
97        let sequence_optimizer = DDSequenceOptimizer::new(config.optimization_config.clone());
98        Self {
99            config,
100            adaptive_system: None,
101            performance_analyzer,
102            noise_analyzer,
103            hardware_analyzer,
104            sequence_optimizer,
105            sequence_cache: SequenceCache::new(),
106            multi_qubit_coordinator: None,
107        }
108    }
109    /// Initialize adaptive DD system
110    pub fn initialize_adaptive_system(
111        &mut self,
112        adaptive_config: AdaptiveDDConfig,
113        initial_sequence: DDSequence,
114        available_sequences: Vec<DDSequenceType>,
115    ) -> DeviceResult<()> {
116        let adaptive_system =
117            AdaptiveDDSystem::new(adaptive_config, initial_sequence, available_sequences);
118        self.adaptive_system = Some(adaptive_system);
119        Ok(())
120    }
121    /// Initialize multi-qubit coordination
122    pub fn initialize_multi_qubit_coordination(
123        &mut self,
124        crosstalk_mitigation: CrosstalkMitigationStrategy,
125        synchronization: hardware::SynchronizationRequirements,
126    ) {
127        self.multi_qubit_coordinator = Some(MultiQubitDDCoordinator::new(
128            crosstalk_mitigation,
129            synchronization,
130        ));
131    }
132    /// Generate optimized DD sequence
133    pub async fn generate_optimized_sequence(
134        &mut self,
135        sequence_type: &DDSequenceType,
136        target_qubits: &[quantrs2_core::qubit::QubitId],
137        duration: f64,
138        executor: &dyn DDCircuitExecutor,
139    ) -> DeviceResult<DynamicalDecouplingResult> {
140        let start_time = std::time::Instant::now();
141        let cache_key = format!("{:?}_{}_{}", sequence_type, target_qubits.len(), duration);
142        if let Some(cached_sequence) = self.sequence_cache.get_sequence(&cache_key) {
143            println!("Using cached DD sequence: {cache_key}");
144            return Ok(DynamicalDecouplingResult {
145                optimized_sequence: cached_sequence,
146                execution_time: start_time.elapsed(),
147                success: true,
148                quality_score: 0.95,
149                performance_analysis: None,
150                noise_analysis: None,
151                hardware_analysis: None,
152                adaptation_stats: None,
153            });
154        }
155        let base_sequence =
156            DDSequenceGenerator::generate_base_sequence(sequence_type, target_qubits, duration)?;
157        let optimization_result = self
158            .sequence_optimizer
159            .optimize_sequence(&base_sequence, executor)
160            .await?;
161        let optimized_sequence = optimization_result.optimized_sequence;
162        let performance_analysis = self
163            .performance_analyzer
164            .analyze_performance(&optimized_sequence, executor)
165            .await?;
166        let noise_analysis = self
167            .noise_analyzer
168            .analyze_noise_characteristics(&optimized_sequence, &performance_analysis)?;
169        let hardware_analysis = self.hardware_analyzer.analyze_hardware_implementation(
170            &format!("device_{}", target_qubits.len()),
171            &optimized_sequence,
172        )?;
173        self.sequence_cache
174            .store_sequence(cache_key, optimized_sequence.clone());
175        let quality_score = Self::calculate_quality_score(
176            &performance_analysis,
177            &noise_analysis,
178            &hardware_analysis,
179        );
180        let result = DynamicalDecouplingResult {
181            optimized_sequence,
182            execution_time: start_time.elapsed(),
183            success: optimization_result.optimization_metrics.success,
184            quality_score,
185            performance_analysis: Some(performance_analysis),
186            noise_analysis: Some(noise_analysis),
187            hardware_analysis: Some(hardware_analysis),
188            adaptation_stats: self
189                .adaptive_system
190                .as_ref()
191                .map(|sys| sys.get_adaptation_statistics()),
192        };
193        if let Some(ref mut adaptive_system) = self.adaptive_system {
194            if let (Some(ref perf), Some(ref noise)) =
195                (&result.performance_analysis, &result.noise_analysis)
196            {
197                adaptive_system.update_performance(perf, noise)?;
198            }
199        }
200        Ok(result)
201    }
202    /// Generate coordinated multi-qubit sequence
203    pub fn generate_multi_qubit_sequence(
204        &mut self,
205        qubit_groups: Vec<(Vec<quantrs2_core::qubit::QubitId>, DDSequenceType)>,
206        duration: f64,
207    ) -> DeviceResult<DDSequence> {
208        if let Some(ref mut coordinator) = self.multi_qubit_coordinator {
209            for (qubits, sequence_type) in qubit_groups {
210                let sequence =
211                    DDSequenceGenerator::generate_base_sequence(&sequence_type, &qubits, duration)?;
212                coordinator.add_sequence(qubits, sequence);
213            }
214            coordinator.generate_coordinated_sequence()
215        } else {
216            Err(crate::DeviceError::InvalidInput(
217                "Multi-qubit coordinator not initialized".to_string(),
218            ))
219        }
220    }
221    /// Calculate overall quality score
222    fn calculate_quality_score(
223        performance: &DDPerformanceAnalysis,
224        noise: &DDNoiseAnalysis,
225        hardware: &DDHardwareAnalysis,
226    ) -> f64 {
227        let performance_score =
228            performance.metrics.values().sum::<f64>() / performance.metrics.len() as f64;
229        let noise_score = noise.suppression_effectiveness.overall_suppression;
230        let hardware_score = hardware.hardware_compatibility.compatibility_score;
231        let weights = [0.4, 0.3, 0.3];
232        let scores = [performance_score, noise_score, hardware_score];
233        let score = weights
234            .iter()
235            .zip(scores.iter())
236            .map(|(w, s)| w * s)
237            .sum::<f64>();
238        score.clamp(0.0, 1.0)
239    }
240    /// Get system status
241    pub fn get_system_status(&self) -> DDSystemStatus {
242        DDSystemStatus {
243            adaptive_enabled: self.adaptive_system.is_some(),
244            multi_qubit_enabled: self.multi_qubit_coordinator.is_some(),
245            cache_statistics: self.sequence_cache.get_cache_statistics(),
246            total_sequences_generated: self.sequence_cache.cached_sequences.len(),
247            optimization_success_rate: self.sequence_optimizer.best_objective_value.abs(),
248        }
249    }
250}
251/// DD system status
252#[derive(Debug, Clone)]
253pub struct DDSystemStatus {
254    /// Adaptive DD enabled
255    pub adaptive_enabled: bool,
256    /// Multi-qubit coordination enabled
257    pub multi_qubit_enabled: bool,
258    /// Cache statistics (hits, misses, hit rate)
259    pub cache_statistics: (usize, usize, f64),
260    /// Total sequences generated
261    pub total_sequences_generated: usize,
262    /// Optimization success rate
263    pub optimization_success_rate: f64,
264}
265/// Circuit executor trait for DD operations
266pub trait DDCircuitExecutor: Send + Sync {
267    /// Execute a circuit and return results
268    fn execute_circuit(
269        &self,
270        circuit: &Circuit<16>,
271    ) -> Result<CircuitExecutionResults, DeviceError>;
272    /// Get backend capabilities
273    fn get_capabilities(&self) -> BackendCapabilities;
274    /// Estimate execution time
275    fn estimate_execution_time(&self, circuit: &Circuit<16>) -> Duration;
276}
277/// Circuit execution results
278#[derive(Debug, Clone)]
279pub struct CircuitExecutionResults {
280    /// Measurement results
281    pub measurements: HashMap<String, Vec<i32>>,
282    /// Execution fidelity
283    pub fidelity: f64,
284    /// Execution time
285    pub execution_time: Duration,
286    /// Error rates
287    pub error_rates: HashMap<String, f64>,
288    /// System metadata
289    pub metadata: CircuitExecutionMetadata,
290}
291/// Circuit execution metadata
292#[derive(Debug, Clone)]
293pub struct CircuitExecutionMetadata {
294    /// Backend used
295    pub backend: String,
296    /// Quantum volume
297    pub quantum_volume: usize,
298    /// Hardware topology
299    pub topology_type: String,
300    /// Calibration timestamp
301    pub calibration_timestamp: std::time::SystemTime,
302    /// Environmental conditions
303    pub environmental_conditions: std::collections::HashMap<String, f64>,
304}