pyzx-simplifier

# 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