MitigationStrategy

quantrs2_ml::error_mitigation

Enum MitigationStrategy 

Source 
pub enum MitigationStrategy {
    ZNE {
        scale_factors: Vec<f64>,
        extrapolation_method: ExtrapolationMethod,
        circuit_folding: CircuitFoldingMethod,
    },
    ReadoutErrorMitigation {
        calibration_matrix: Array2<f64>,
        correction_method: ReadoutCorrectionMethod,
        regularization: f64,
    },
    CDR {
        training_circuits: Vec<CliffordCircuit>,
        regression_model: CDRModel,
        feature_extraction: FeatureExtractionMethod,
    },
    SymmetryVerification {
        symmetry_groups: Vec<SymmetryGroup>,
        verification_circuits: Vec<VerificationCircuit>,
        post_selection: bool,
    },
    VirtualDistillation {
        distillation_rounds: usize,
        entanglement_protocol: EntanglementProtocol,
        purification_threshold: f64,
    },
    MLMitigation {
        noise_predictor: NoisePredictorModel,
        correction_network: CorrectionNetwork,
        training_data: TrainingDataSet,
    },
    HybridErrorCorrection {
        classical_preprocessing: ClassicalPreprocessor,
        quantum_correction: QuantumErrorCorrector,
        post_processing: ClassicalPostprocessor,
    },
    AdaptiveMultiStrategy {
        strategies: Vec<MitigationStrategy>,
        selection_policy: StrategySelectionPolicy,
        performance_tracker: PerformanceTracker,
    },
}
Expand description

Error mitigation strategies for quantum ML

Variants§

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ZNE

Zero Noise Extrapolation

Fields

§scale_factors: Vec<f64>
§extrapolation_method: ExtrapolationMethod
§circuit_folding: CircuitFoldingMethod
§

ReadoutErrorMitigation

Readout Error Mitigation

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§calibration_matrix: Array2<f64>
§correction_method: ReadoutCorrectionMethod
§regularization: f64
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CDR

Clifford Data Regression

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§training_circuits: Vec<CliffordCircuit>
§regression_model: CDRModel
§feature_extraction: FeatureExtractionMethod
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SymmetryVerification

Symmetry Verification

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§symmetry_groups: Vec<SymmetryGroup>
§verification_circuits: Vec<VerificationCircuit>
§post_selection: bool
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VirtualDistillation

Virtual Distillation

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§distillation_rounds: usize
§entanglement_protocol: EntanglementProtocol
§purification_threshold: f64
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MLMitigation

Machine Learning-based Mitigation

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§noise_predictor: NoisePredictorModel
§correction_network: CorrectionNetwork
§training_data: TrainingDataSet
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HybridErrorCorrection

Hybrid Classical-Quantum Error Correction

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§classical_preprocessing: ClassicalPreprocessor
§quantum_correction: QuantumErrorCorrector
§post_processing: ClassicalPostprocessor
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AdaptiveMultiStrategy

Adaptive Multi-Strategy

Fields

§strategies: Vec<MitigationStrategy>
§selection_policy: StrategySelectionPolicy
§performance_tracker: PerformanceTracker

Trait Implementations§

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impl Clone for MitigationStrategy

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fn clone(&self) -> MitigationStrategy

Returns a duplicate of the value. Read more
1.0.0 · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for MitigationStrategy

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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