circuit-optimizer

Solid

Quantum circuit optimization skill for gate reduction, depth minimization, and hardware-aware compilation

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# 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

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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