Mitiq error mitigator
Error mitigation skill using Mitiq for NISQ device noise reductionFrom its SKILL.md
npx -y skills add a5c-ai/babysitter --skill mitiq-error-mitigatorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
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Mitiq Error Mitigator
Purpose
Provides expert guidance on error mitigation techniques for NISQ devices using Mitiq, reducing the impact of noise without full quantum error correction.
Capabilities
- Zero-noise extrapolation (ZNE)
- Probabilistic error cancellation (PEC)
- Clifford data regression (CDR)
- Digital dynamical decoupling
- Pauli twirling
- Learning-based error mitigation
- Noise scaling methods
- Extrapolation fitting
Usage Guidelines
- Technique Selection: Choose mitigation method based on noise characteristics
- Noise Scaling: Configure appropriate noise amplification factors
- Extrapolation: Select fitting model for zero-noise extrapolation
- Overhead Analysis: Evaluate sampling overhead vs. accuracy improvement
- Validation: Compare mitigated results with theoretical expectations
Tools/Libraries
- Mitiq
- Qiskit
- Cirq
- PennyLane
- NumPy
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.