pennylaneqldpc
OfficialLearn and run PennyLane qLDPC tutorials.
Authorunitarylab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The skill helps learners understand and run a PennyLane-based qLDPC tutorial, guiding from classical LDPC basics to CSS and Hypergraph Product code construction.
Core Features & Use Cases
- Demonstrates classical LDPC concepts (parity-check matrices, Tanner graphs) and CSS code construction.
- Validates commutation for CSS stabilizers and constructs Hypergraph Product codes for educational demos.
- Provides a runnable Python workflow (NumPy, NetworkX, Matplotlib, PennyLane) to visualize Tanner graphs, syndromes, and code dimensions.
Quick Start
Run the tutorial script to build and validate a small qLDPC code using Python with NumPy, NetworkX, Matplotlib, and PennyLane.
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: pennylaneqldpc Download link: https://github.com/unitarylab/quantum-skills/archive/main.zip#pennylaneqldpc Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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