quantrs2_tytan/quantum_error_correction/
functions.rs

1//! Auto-generated module
2//!
3//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)
4
5use scirs2_core::ndarray::{Array1, Array2, Array3};
6use scirs2_core::random::prelude::*;
7use scirs2_core::random::prelude::*;
8use std::collections::HashMap;
9
10use super::types::{
11    AdaptiveCorrectionConfig, AmplificationStrategy, CodeParameters, DecodingAlgorithm,
12    ErrorAmplificationConfig, ErrorMitigationConfig, LatticeType, LearningAdaptationConfig,
13    LogicalOperators, MeasurementData, MitigatedData, PerformanceAdaptationConfig, QECConfig,
14    QECError, QuantumCircuit, QuantumCodeType, QuantumErrorCorrection, ResourceEstimate,
15    SyndromeExtractionMethod, ThresholdEstimationConfig, ThresholdEstimationMethod,
16};
17
18/// Quantum code trait
19pub trait QuantumCode: Send + Sync {
20    /// Encode logical qubits into physical qubits
21    fn encode(&self, logical_state: &Array1<f64>) -> Result<Array1<f64>, QECError>;
22    /// Decode physical qubits to logical qubits
23    fn decode(
24        &self,
25        physical_state: &Array1<f64>,
26        syndrome: &Array1<u8>,
27    ) -> Result<Array1<f64>, QECError>;
28    /// Extract error syndrome
29    fn extract_syndrome(&self, physical_state: &Array1<f64>) -> Result<Array1<u8>, QECError>;
30    /// Get stabilizer generators
31    fn get_stabilizers(&self) -> Vec<Array1<i8>>;
32    /// Get code parameters
33    fn get_parameters(&self) -> CodeParameters;
34    /// Check if error is correctable
35    fn is_correctable(&self, error: &Array1<u8>) -> bool;
36    /// Get logical operators
37    fn get_logical_operators(&self) -> LogicalOperators;
38}
39/// Prediction model trait
40pub trait PredictionModel: Send + Sync + std::fmt::Debug {
41    /// Predict next syndrome
42    fn predict_syndrome(&self, history: &[Array1<u8>]) -> Result<Array1<u8>, QECError>;
43    /// Update model with new data
44    fn update(&mut self, history: &[Array1<u8>], actual: &Array1<u8>) -> Result<(), QECError>;
45    /// Get prediction confidence
46    fn get_confidence(&self) -> f64;
47}
48/// Error mitigation strategy trait
49pub trait ErrorMitigationStrategy: Send + Sync {
50    /// Apply error mitigation
51    fn mitigate_errors(
52        &self,
53        measurement_data: &MeasurementData,
54    ) -> Result<MitigatedData, QECError>;
55    /// Get strategy name
56    fn get_strategy_name(&self) -> &str;
57    /// Get mitigation parameters
58    fn get_parameters(&self) -> HashMap<String, f64>;
59    /// Estimate mitigation overhead
60    fn estimate_overhead(&self) -> f64;
61}
62/// Threshold calculator trait
63pub trait ThresholdCalculator: Send + Sync + std::fmt::Debug {
64    /// Calculate error threshold for a given code
65    fn calculate_threshold(&self, code: &dyn QuantumCode) -> Result<f64, QECError>;
66    /// Get calculator name
67    fn get_calculator_name(&self) -> &str;
68    /// Get calculation parameters
69    fn get_parameters(&self) -> HashMap<String, f64>;
70}
71/// Fault propagation model trait
72pub trait FaultPropagationModel: Send + Sync + std::fmt::Debug {
73    /// Model fault propagation
74    fn propagate_faults(
75        &self,
76        initial_faults: &Array1<u8>,
77        circuit: &QuantumCircuit,
78    ) -> Result<Array1<u8>, QECError>;
79    /// Get model name
80    fn get_model_name(&self) -> &str;
81    /// Get model parameters
82    fn get_parameters(&self) -> HashMap<String, f64>;
83}
84/// Resource estimator trait
85pub trait ResourceEstimator: Send + Sync + std::fmt::Debug {
86    /// Estimate resources required
87    fn estimate_resources(
88        &self,
89        code: &dyn QuantumCode,
90        computation: &QuantumCircuit,
91    ) -> Result<ResourceEstimate, QECError>;
92    /// Get estimator name
93    fn get_estimator_name(&self) -> &str;
94}
95/// Create default QEC configuration
96pub fn create_default_qec_config() -> QECConfig {
97    QECConfig {
98        code_type: QuantumCodeType::SurfaceCode {
99            lattice_type: LatticeType::Square,
100        },
101        code_distance: 3,
102        correction_frequency: 1000.0,
103        syndrome_method: SyndromeExtractionMethod::Standard,
104        decoding_algorithm: DecodingAlgorithm::MWPM,
105        error_mitigation: ErrorMitigationConfig {
106            zero_noise_extrapolation: true,
107            probabilistic_error_cancellation: false,
108            symmetry_verification: true,
109            virtual_distillation: false,
110            error_amplification: ErrorAmplificationConfig {
111                amplification_factors: vec![1.0, 1.5, 2.0],
112                max_amplification: 3.0,
113                strategy: AmplificationStrategy::Linear,
114            },
115            clifford_data_regression: false,
116        },
117        adaptive_correction: AdaptiveCorrectionConfig {
118            adaptive_thresholding: false,
119            dynamic_distance: false,
120            real_time_code_switching: false,
121            performance_adaptation: PerformanceAdaptationConfig {
122                error_rate_threshold: 0.01,
123                monitoring_window: 100,
124                adaptation_sensitivity: 0.1,
125                min_adaptation_interval: 10.0,
126            },
127            learning_adaptation: LearningAdaptationConfig {
128                reinforcement_learning: false,
129                learning_rate: 0.01,
130                replay_buffer_size: 10000,
131                update_frequency: 100,
132            },
133        },
134        threshold_estimation: ThresholdEstimationConfig {
135            real_time_estimation: false,
136            estimation_method: ThresholdEstimationMethod::MonteCarlo,
137            confidence_level: 0.95,
138            update_frequency: 1000,
139        },
140    }
141}
142/// Create QEC system for optimization problems
143pub fn create_optimization_qec(num_logical_qubits: usize) -> QuantumErrorCorrection {
144    let config = create_default_qec_config();
145    QuantumErrorCorrection::new(num_logical_qubits, config)
146}
147/// Create adaptive QEC configuration
148pub fn create_adaptive_qec_config() -> QECConfig {
149    let mut config = create_default_qec_config();
150    config.adaptive_correction.adaptive_thresholding = true;
151    config.adaptive_correction.dynamic_distance = true;
152    config.adaptive_correction.real_time_code_switching = true;
153    config
154        .adaptive_correction
155        .learning_adaptation
156        .reinforcement_learning = true;
157    config.threshold_estimation.real_time_estimation = true;
158    config
159}
160#[cfg(test)]
161mod tests {
162    use super::*;
163    #[test]
164    fn test_qec_creation() {
165        let mut qec = create_optimization_qec(2);
166        assert_eq!(qec.num_logical_qubits, 2);
167        assert_eq!(qec.config.code_distance, 3);
168    }
169    #[test]
170    fn test_syndrome_extraction() {
171        let mut qec = create_optimization_qec(1);
172        let mut quantum_state = Array1::from_vec(vec![1.0, 0.0, 0.0, 0.0]);
173        let mut result = qec.extract_syndrome(&quantum_state);
174        assert!(result.is_err());
175    }
176    #[test]
177    fn test_mwpm_decoding() {
178        let qec = create_optimization_qec(2);
179        let syndrome = Array1::from_vec(vec![1, 0, 1, 0]);
180        let error_estimate = qec
181            .decode_mwpm(&syndrome)
182            .expect("MWPM decoding should succeed");
183        assert_eq!(error_estimate.len(), qec.num_physical_qubits);
184    }
185    #[test]
186    fn test_belief_propagation_decoding() {
187        let qec = create_optimization_qec(2);
188        let syndrome = Array1::from_vec(vec![1, 1, 0, 0]);
189        let error_estimate = qec
190            .decode_belief_propagation(&syndrome)
191            .expect("Belief propagation decoding should succeed");
192        assert_eq!(error_estimate.len(), qec.num_physical_qubits);
193    }
194    #[test]
195    fn test_pauli_x_application() {
196        let mut qec = create_optimization_qec(1);
197        let mut state = Array1::from_vec(vec![1.0, 0.0]);
198        qec.apply_pauli_x(&mut state, 0);
199        assert!((state[0] - 0.0_f64).abs() < 1e-10);
200        assert!((state[1] - 1.0_f64).abs() < 1e-10);
201    }
202    #[test]
203    fn test_physical_qubit_estimation() {
204        let mut config = create_default_qec_config();
205        let num_physical = QuantumErrorCorrection::estimate_physical_qubits(2, &config);
206        assert_eq!(num_physical, 18);
207    }
208}
quantrs2_tytan/quantum_error_correction/functions.rs

quantrs2_tytan/quantum_error_correction/
functions.rs
