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.
6
7pub mod adaptive;
8pub mod analysis;
9pub mod config;
10pub mod executor;
11pub mod fallback_scirs2;
12pub mod hardware;
13pub mod noise;
14pub mod optimization;
15pub mod performance;
16pub mod sequences;
17pub mod validation;
18
19#[cfg(test)]
20pub mod test_suite;
21
22pub use adaptive::*;
23pub use analysis::*;
24pub use config::*;
25pub use hardware::*;
26pub use noise::*;
27pub use optimization::*;
28pub use performance::*;
29pub use sequences::*;
30
31use std::collections::HashMap;
32use std::time::{Duration, Instant};
33
34use quantrs2_circuit::prelude::*;
35use quantrs2_core::{
36    error::{QuantRS2Error, QuantRS2Result},
37    gate::GateOp,
38    qubit::QubitId,
39};
40
41use crate::{
42    backend_traits::{query_backend_capabilities, BackendCapabilities},
43    calibration::{CalibrationManager, DeviceCalibration},
44    noise_model::CalibrationNoiseModel,
45    topology::HardwareTopology,
46    translation::HardwareBackend,
47    CircuitResult, DeviceError, DeviceResult,
48};
49
50/// Main result type for dynamical decoupling operations
51#[derive(Debug, Clone)]
52pub struct DynamicalDecouplingResult {
53    /// Optimized DD sequence
54    pub optimized_sequence: DDSequence,
55    /// Execution timing
56    pub execution_time: Duration,
57    /// Success status
58    pub success: bool,
59    /// Quality metrics
60    pub quality_score: f64,
61    /// Performance analysis
62    pub performance_analysis: Option<DDPerformanceAnalysis>,
63    /// Noise analysis
64    pub noise_analysis: Option<DDNoiseAnalysis>,
65    /// Hardware analysis
66    pub hardware_analysis: Option<DDHardwareAnalysis>,
67    /// Adaptation statistics
68    pub adaptation_stats: Option<AdaptationStatistics>,
69}
70
71/// Comprehensive DD system manager
72pub struct DynamicalDecouplingManager {
73    /// System configuration
74    pub config: DynamicalDecouplingConfig,
75    /// Adaptive DD system
76    pub adaptive_system: Option<AdaptiveDDSystem>,
77    /// Performance analyzer
78    pub performance_analyzer: DDPerformanceAnalyzer,
79    /// Noise analyzer
80    pub noise_analyzer: DDNoiseAnalyzer,
81    /// Hardware analyzer
82    pub hardware_analyzer: DDHardwareAnalyzer,
83    /// Sequence optimizer
84    pub sequence_optimizer: DDSequenceOptimizer,
85    /// Sequence cache
86    pub sequence_cache: SequenceCache,
87    /// Multi-qubit coordinator
88    pub multi_qubit_coordinator: Option<MultiQubitDDCoordinator>,
89}
90
91impl DynamicalDecouplingManager {
92    /// Create new DD manager
93    pub fn new(
94        config: DynamicalDecouplingConfig,
95        device_id: String,
96        topology: Option<crate::topology::HardwareTopology>,
97        calibration_manager: Option<crate::calibration::CalibrationManager>,
98    ) -> Self {
99        let performance_analyzer = DDPerformanceAnalyzer::new(config.performance_config.clone());
100        let noise_analyzer = DDNoiseAnalyzer::new(config.noise_characterization.clone());
101        let hardware_analyzer = DDHardwareAnalyzer::new(
102            config.hardware_adaptation.clone(),
103            calibration_manager,
104            topology,
105        );
106        let sequence_optimizer = DDSequenceOptimizer::new(config.optimization_config.clone());
107
108        Self {
109            config,
110            adaptive_system: None,
111            performance_analyzer,
112            noise_analyzer,
113            hardware_analyzer,
114            sequence_optimizer,
115            sequence_cache: SequenceCache::new(),
116            multi_qubit_coordinator: None,
117        }
118    }
119
120    /// Initialize adaptive DD system
121    pub fn initialize_adaptive_system(
122        &mut self,
123        adaptive_config: AdaptiveDDConfig,
124        initial_sequence: DDSequence,
125        available_sequences: Vec<DDSequenceType>,
126    ) -> DeviceResult<()> {
127        let adaptive_system =
128            AdaptiveDDSystem::new(adaptive_config, initial_sequence, available_sequences);
129
130        self.adaptive_system = Some(adaptive_system);
131        Ok(())
132    }
133
134    /// Initialize multi-qubit coordination
135    pub fn initialize_multi_qubit_coordination(
136        &mut self,
137        crosstalk_mitigation: CrosstalkMitigationStrategy,
138        synchronization: hardware::SynchronizationRequirements,
139    ) {
140        self.multi_qubit_coordinator = Some(MultiQubitDDCoordinator::new(
141            crosstalk_mitigation,
142            synchronization,
143        ));
144    }
145
146    /// Generate optimized DD sequence
147    pub async fn generate_optimized_sequence(
148        &mut self,
149        sequence_type: &DDSequenceType,
150        target_qubits: &[quantrs2_core::qubit::QubitId],
151        duration: f64,
152        executor: &dyn DDCircuitExecutor,
153    ) -> DeviceResult<DynamicalDecouplingResult> {
154        let start_time = std::time::Instant::now();
155
156        // Check cache first
157        let cache_key = format!("{:?}_{}_{}", sequence_type, target_qubits.len(), duration);
158        if let Some(cached_sequence) = self.sequence_cache.get_sequence(&cache_key) {
159            println!("Using cached DD sequence: {}", cache_key);
160            return Ok(DynamicalDecouplingResult {
161                optimized_sequence: cached_sequence,
162                execution_time: start_time.elapsed(),
163                success: true,
164                quality_score: 0.95,
165                performance_analysis: None,
166                noise_analysis: None,
167                hardware_analysis: None,
168                adaptation_stats: None,
169            });
170        }
171
172        // Generate base sequence
173        let base_sequence =
174            DDSequenceGenerator::generate_base_sequence(sequence_type, target_qubits, duration)?;
175
176        // Optimize sequence
177        let optimization_result = self
178            .sequence_optimizer
179            .optimize_sequence(&base_sequence, executor)
180            .await?;
181
182        let optimized_sequence = optimization_result.optimized_sequence;
183
184        // Analyze performance
185        let performance_analysis = self
186            .performance_analyzer
187            .analyze_performance(&optimized_sequence, executor)
188            .await?;
189
190        // Analyze noise characteristics
191        let noise_analysis = self
192            .noise_analyzer
193            .analyze_noise_characteristics(&optimized_sequence, &performance_analysis)?;
194
195        // Analyze hardware compatibility
196        let hardware_analysis = self.hardware_analyzer.analyze_hardware_implementation(
197            &format!("device_{}", target_qubits.len()),
198            &optimized_sequence,
199        )?;
200
201        // Cache the optimized sequence
202        self.sequence_cache
203            .store_sequence(cache_key, optimized_sequence.clone());
204
205        // Calculate quality score
206        let quality_score = self.calculate_quality_score(
207            &performance_analysis,
208            &noise_analysis,
209            &hardware_analysis,
210        );
211
212        let result = DynamicalDecouplingResult {
213            optimized_sequence,
214            execution_time: start_time.elapsed(),
215            success: optimization_result.optimization_metrics.success,
216            quality_score,
217            performance_analysis: Some(performance_analysis),
218            noise_analysis: Some(noise_analysis),
219            hardware_analysis: Some(hardware_analysis),
220            adaptation_stats: self
221                .adaptive_system
222                .as_ref()
223                .map(|sys| sys.get_adaptation_statistics()),
224        };
225
226        // Update adaptive system if available
227        if let Some(ref mut adaptive_system) = self.adaptive_system {
228            if let (Some(ref perf), Some(ref noise)) =
229                (&result.performance_analysis, &result.noise_analysis)
230            {
231                adaptive_system.update_performance(perf, noise)?;
232            }
233        }
234
235        Ok(result)
236    }
237
238    /// Generate coordinated multi-qubit sequence
239    pub fn generate_multi_qubit_sequence(
240        &mut self,
241        qubit_groups: Vec<(Vec<quantrs2_core::qubit::QubitId>, DDSequenceType)>,
242        duration: f64,
243    ) -> DeviceResult<DDSequence> {
244        if let Some(ref mut coordinator) = self.multi_qubit_coordinator {
245            // Add sequences for each qubit group
246            for (qubits, sequence_type) in qubit_groups {
247                let sequence =
248                    DDSequenceGenerator::generate_base_sequence(&sequence_type, &qubits, duration)?;
249                coordinator.add_sequence(qubits, sequence);
250            }
251
252            // Generate coordinated sequence
253            coordinator.generate_coordinated_sequence()
254        } else {
255            Err(crate::DeviceError::InvalidInput(
256                "Multi-qubit coordinator not initialized".to_string(),
257            ))
258        }
259    }
260
261    /// Calculate overall quality score
262    fn calculate_quality_score(
263        &self,
264        performance: &DDPerformanceAnalysis,
265        noise: &DDNoiseAnalysis,
266        hardware: &DDHardwareAnalysis,
267    ) -> f64 {
268        let performance_score =
269            performance.metrics.values().sum::<f64>() / performance.metrics.len() as f64;
270        let noise_score = noise.suppression_effectiveness.overall_suppression;
271        let hardware_score = hardware.hardware_compatibility.compatibility_score;
272
273        // Weighted average
274        let weights = [0.4, 0.3, 0.3]; // Performance, noise, hardware
275        let scores = [performance_score, noise_score, hardware_score];
276
277        let score = weights
278            .iter()
279            .zip(scores.iter())
280            .map(|(w, s)| w * s)
281            .sum::<f64>();
282
283        // Clamp to [0, 1] range
284        score.max(0.0).min(1.0)
285    }
286
287    /// Get system status
288    pub fn get_system_status(&self) -> DDSystemStatus {
289        DDSystemStatus {
290            adaptive_enabled: self.adaptive_system.is_some(),
291            multi_qubit_enabled: self.multi_qubit_coordinator.is_some(),
292            cache_statistics: self.sequence_cache.get_cache_statistics(),
293            total_sequences_generated: self.sequence_cache.cached_sequences.len(),
294            optimization_success_rate: self.sequence_optimizer.best_objective_value.abs(),
295        }
296    }
297}
298
299/// DD system status
300#[derive(Debug, Clone)]
301pub struct DDSystemStatus {
302    /// Adaptive DD enabled
303    pub adaptive_enabled: bool,
304    /// Multi-qubit coordination enabled
305    pub multi_qubit_enabled: bool,
306    /// Cache statistics (hits, misses, hit rate)
307    pub cache_statistics: (usize, usize, f64),
308    /// Total sequences generated
309    pub total_sequences_generated: usize,
310    /// Optimization success rate
311    pub optimization_success_rate: f64,
312}
313
314/// Circuit executor trait for DD operations
315pub trait DDCircuitExecutor: Send + Sync {
316    /// Execute a circuit and return results
317    fn execute_circuit(
318        &self,
319        circuit: &Circuit<16>,
320    ) -> Result<CircuitExecutionResults, DeviceError>;
321
322    /// Get backend capabilities
323    fn get_capabilities(&self) -> BackendCapabilities;
324
325    /// Estimate execution time
326    fn estimate_execution_time(&self, circuit: &Circuit<16>) -> Duration;
327}
328
329/// Circuit execution results
330#[derive(Debug, Clone)]
331pub struct CircuitExecutionResults {
332    /// Measurement results
333    pub measurements: HashMap<String, Vec<i32>>,
334    /// Execution fidelity
335    pub fidelity: f64,
336    /// Execution time
337    pub execution_time: Duration,
338    /// Error rates
339    pub error_rates: HashMap<String, f64>,
340    /// System metadata
341    pub metadata: CircuitExecutionMetadata,
342}
343
344/// Circuit execution metadata
345#[derive(Debug, Clone)]
346pub struct CircuitExecutionMetadata {
347    /// Backend used
348    pub backend: String,
349    /// Quantum volume
350    pub quantum_volume: usize,
351    /// Hardware topology
352    pub topology_type: String,
353    /// Calibration timestamp
354    pub calibration_timestamp: std::time::SystemTime,
355    /// Environmental conditions
356    pub environmental_conditions: std::collections::HashMap<String, f64>,
357}
quantrs2_device/dynamical_decoupling/mod.rs

quantrs2_device/dynamical_decoupling/
mod.rs
