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