qec-code-builder

Quantum error correction code implementation skill for fault-tolerant quantum computing

509 stars

bya5c-ai

View on GitHub Installation ↓

Best use case

qec-code-builder is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Quantum error correction code implementation skill for fault-tolerant quantum computing

Teams using qec-code-builder should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/qec-code-builder/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/quantum-computing/skills/qec-code-builder/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/qec-code-builder/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How qec-code-builder Compares

Feature / Agent	qec-code-builder	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Quantum error correction code implementation skill for fault-tolerant quantum computing

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# QEC Code Builder

## Purpose

Provides expert guidance on quantum error correction code implementation, enabling fault-tolerant quantum computing through encoding, syndrome extraction, and logical operations.

## Capabilities

- Surface code implementation
- Steane code [[7,1,3]] construction
- Color code implementation
- Repetition code for testing
- Syndrome extraction circuits
- Logical gate implementations
- Code distance optimization
- Threshold analysis

## Usage Guidelines

1. **Code Selection**: Choose QEC code based on error model and resource constraints
2. **Encoding Design**: Implement logical qubit encoding circuits
3. **Syndrome Extraction**: Design efficient syndrome measurement schedules
4. **Decoder Integration**: Connect to appropriate decoding algorithms
5. **Logical Operations**: Implement fault-tolerant logical gates

## Tools/Libraries

- Stim
- PyMatching
- QLDPC
- Qiskit
- Cirq

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