MLOps CLI for LLM-guided evolutionary optimization on a pluggable backend (OpenEvolve, ShinkaEvolve): versioned problems and datasets, LLM registry, reproducible runs, benchmarks
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Updated
Oct 24, 2026 - Python
MLOps CLI for LLM-guided evolutionary optimization on a pluggable backend (OpenEvolve, ShinkaEvolve): versioned problems and datasets, LLM registry, reproducible runs, benchmarks
LLM-driven evolutionary search that discovers a better qubit-layout heuristic than the one it starts with, measured by the two-qubit gate count Qiskit emits after routing. Runs on the qBraid AI Gateway or your own GPU.
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