review-circuit
CommunityActionable reviews for quantum circuits and QML.
Software Engineering#review#training-stability#gradient-flow#quantum-circuit#hybrid-ml#expressivity#barren-plateau
Authornecatiincekara
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill provides structured, repository-aware reviews of quantum circuit implementations to improve expressivity, gradient flow, and training stability.
Core Features & Use Cases
- Code-aware evaluation of ansatz suitability, entanglement patterns, and differentiability methods.
- Detects barren plateaus and gradient-related issues, offering concrete improvement suggestions.
- Provides output-ready recommendations tailored to repository contexts such as src/model.py, src/trainable_quantum_model.py, and improved_quantum_circuit.py.
Quick Start
Run this skill against your project's quantum model code to receive a structured review with concrete improvement options.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: review-circuit Download link: https://github.com/necatiincekara/Quanvolutional-Neural-Network/archive/main.zip#review-circuit Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.