ReddRadar
Agent skill
pyzx-simplifier
ZX-calculus based circuit simplification skill for advanced quantum circuit optimization
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/quantum-computing/skills/pyzx-simplifier
Metadata
Additional technical details for this skill
- phase
- 6
- domain
- science
- category
- circuit-design
- specialization
- quantum-computing
SKILL.md
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
- Conversion: Transform quantum circuits to ZX-diagrams for analysis
- Simplification: Apply ZX-calculus rewrite rules for optimization
- T-Minimization: Focus on T-gate reduction for fault-tolerant computing
- Extraction: Convert optimized ZX-diagrams back to circuits
- Visualization: Generate visual representations for understanding and debugging
Tools/Libraries
- PyZX
- ZX-calculus
- NetworkX
- Matplotlib
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