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mitiq-error-mitigator

Testing & Quality
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Error mitigation skill using Mitiq for NISQ device noise reduction

QUICK START

How to use this skill

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Source SKILL.md: https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/domains/science/quantum-computing/skills/mitiq-error-mitigator/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

  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