AgentSkillsCN

pyzx-simplifier

基于 ZX 律的电路简化技能，助力高级量子电路优化

SKILL.md
--- frontmatter
name: pyzx-simplifier
description: ZX-calculus based circuit simplification skill for advanced quantum circuit optimization
allowed-tools:
  - Bash
  - Read
  - Write
  - Edit
  - Glob
  - Grep
metadata:
  specialization: quantum-computing
  domain: science
  category: circuit-design
  phase: 6

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