Expand description
Noise extrapolation techniques for quantum error mitigation.
This module implements various error mitigation techniques including Zero-Noise Extrapolation (ZNE), Virtual Distillation, Symmetry Verification, and other methods to extrapolate quantum results to the zero-noise limit.
Structs§
- CDRModel
- Trained CDR model
- CDRResult
- Clifford Data Regression (CDR) result
- Clifford
Data Regression - Clifford Data Regression (CDR) implementation
- Error
Mitigation Pipeline - Combined error mitigation pipeline
- FitStatistics
- Fitting statistics for extrapolation
- M3Calibration
- M3 calibration data
- M3Result
- Matrix-free Measurement Mitigation (M3) result
- Matrix
Free Measurement Mitigation - Matrix-free Measurement Mitigation (M3) implementation
- Noise
Model - Simplified noise model for PEC
- PECResult
- Probabilistic Error Cancellation (PEC) result
- Probabilistic
Error Cancellation - Probabilistic Error Cancellation (PEC) implementation
- Symmetry
Operation - Symmetry operation
- Symmetry
Verification - Symmetry Verification implementation
- Symmetry
Verification Result - Symmetry Verification result
- Virtual
Distillation - Virtual Distillation implementation
- Virtual
Distillation Result - Virtual Distillation result
- ZNEResult
- Zero-Noise Extrapolation result
- Zero
Noise Extrapolator - Zero-Noise Extrapolation engine
Enums§
- Distillation
Protocol - Distillation protocols
- Extrapolation
Method - Extrapolation methods for ZNE
- M3Solver
Method - Solver methods for M3
- Noise
Scaling Method - Noise scaling methods
- Regression
Method - Regression methods for CDR
Functions§
- benchmark_
noise_ extrapolation - Benchmark noise extrapolation techniques