# Pyzx Simplifier

> ZX-calculus based circuit simplification skill for advanced quantum circuit optimization

- Skill: `a5c-ai/pyzx-simplifier` (Agent Skill)
- Install (CLI): `npx skillmds@latest add a5c-ai/pyzx-simplifier`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/pyzx-simplifier/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/a5c-ai/pyzx-simplifier

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# PyZX Simplifier

## Purpose

Provides expert guidance on ZX-calculus based circuit simplification, enabling powerful optimization through graphical quantum circuit representation.

## Capabilities

- ZX-diagram representation of circuits
- Full simplification via ZX-calculus rules
- T-count minimization
- Clifford circuit extraction
- Ancilla-free circuit optimization
- Visualization of ZX-diagrams
- Circuit-to-graph conversion
- Equality verification

## Usage Guidelines

1. **Conversion**: Transform quantum circuits to ZX-diagrams for analysis
2. **Simplification**: Apply ZX-calculus rewrite rules for optimization
3. **T-Minimization**: Focus on T-gate reduction for fault-tolerant computing
4. **Extraction**: Convert optimized ZX-diagrams back to circuits
5. **Visualization**: Generate visual representations for understanding and debugging

## Tools/Libraries

- PyZX
- ZX-calculus
- NetworkX
- Matplotlib