circuit-optimizer

name	circuit-optimizer
description	Quantum circuit optimization skill for gate reduction, depth minimization, and hardware-aware compilation
allowed-tools	["Bash","Read","Write","Edit","Glob","Grep"]
metadata	{"specialization":"quantum-computing","domain":"science","category":"circuit-design","phase":6}
graph	{"domains":["domain:quantum-computing"],"specializations":["specialization:quantum-computing"],"skillAreas":["skill-area:compiler-implementation","skill-area:graph-algorithms","skill-area:mathematical-reasoning"],"workflows":["workflow:experiment-design"],"roles":["role:research-engineer","role:computational-scientist"]}

Circuit Optimizer

Purpose

Provides expert guidance on quantum circuit optimization techniques for reducing gate count, minimizing depth, and adapting circuits to hardware constraints.

Capabilities

• Circuit depth reduction algorithms
• Gate cancellation and merging
• Peephole optimization
• Template matching optimization
• Commutation analysis
• Hardware topology-aware routing
• Two-qubit gate minimization
• Compilation pass orchestration

Usage Guidelines

1. Analysis: Profile circuit for optimization opportunities (gate counts, depth, connectivity)
2. Gate Reduction: Apply cancellation and merging rules for equivalent gates
3. Depth Optimization: Parallelize independent operations where topology allows
4. Hardware Mapping: Route circuits to respect hardware connectivity constraints
5. Verification: Validate circuit equivalence after optimization

Tools/Libraries

• Qiskit transpiler
• pytket (t|ket>)
• PyZX
• Cirq optimizers
• BQSKit