Module error_mitigation 

Error mitigation strategies for quantum computing

This module provides state-of-the-art error mitigation techniques to improve the accuracy of noisy quantum simulations and real quantum hardware results.

Supported Techniques

• Zero-Noise Extrapolation (ZNE): Extrapolate results to zero noise limit
• Probabilistic Error Cancellation (PEC): Use quasi-probability to cancel errors
• Clifford Data Regression (CDR): Noise characterization with Clifford circuits
• Measurement Error Mitigation: Correct readout errors using calibration
• Symmetry Verification: Verify conservation laws and post-select results

Example

use quantrs2_sim::error_mitigation::{ZeroNoiseExtrapolation, ExtrapolationMethod};

let zne = ZeroNoiseExtrapolation::new(ExtrapolationMethod::Richardson);
let mitigated_result = zne.apply(&noisy_results, &noise_scales)?;

Structs

MeasurementErrorMitigation

Measurement error mitigation using calibration matrices

SymmetryVerification

Symmetry verification for post-selection

ZeroNoiseExtrapolation

Zero-Noise Extrapolation for error mitigation

Enums

ExtrapolationMethod

Extrapolation methods for ZNE

SymmetryType

Types of symmetries