Babysitter mitiq-error-mitigator
Error mitigation skill using Mitiq for NISQ device noise reduction
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/quantum-computing/skills/mitiq-error-mitigator" ~/.claude/skills/a5c-ai-babysitter-mitiq-error-mitigator && rm -rf "$T"
manifest:
library/specializations/domains/science/quantum-computing/skills/mitiq-error-mitigator/SKILL.mdsource content
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