Barren plateau analyzer
Analysis skill for detecting and mitigating barren plateaus in variational circuitsFrom its SKILL.md
npx -y skills add a5c-ai/babysitter --skill barren-plateau-analyzerAssembled 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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Barren Plateau Analyzer
Purpose
Provides expert guidance on analyzing and mitigating barren plateaus in variational quantum circuits, ensuring trainability of quantum machine learning models.
Capabilities
- Gradient variance estimation
- Cost function landscape analysis
- Expressibility vs. trainability tradeoff
- Initialization strategy evaluation
- Local cost function design
- Layer-wise training strategies
- Entanglement-induced BP detection
- Noise-induced BP analysis
Usage Guidelines
- Variance Estimation: Sample gradient variance across parameter space
- Scaling Analysis: Evaluate gradient scaling with qubit number
- Architecture Modification: Redesign circuits to avoid BP regions
- Initialization: Use structured initialization to avoid plateaus
- Training Strategy: Apply layer-wise or identity-initialized training
Tools/Libraries
- PennyLane
- Qiskit
- JAX
- NumPy
- Matplotlib
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.