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.md
source 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

  1. Technique Selection: Choose mitigation method based on noise characteristics
  2. Noise Scaling: Configure appropriate noise amplification factors
  3. Extrapolation: Select fitting model for zero-noise extrapolation
  4. Overhead Analysis: Evaluate sampling overhead vs. accuracy improvement
  5. Validation: Compare mitigated results with theoretical expectations

Tools/Libraries

  • Mitiq
  • Qiskit
  • Cirq
  • PennyLane
  • NumPy