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LLM-guided evolutionary search uncovers 465 distinct bivariate bicycle codes, including new high-performance candidates, showcasing a novel approach to quantum code discovery.
LLMs can ace textbook quantum algorithms but choke on the problem setup, revealing a surprising gap in their ability to translate high-level problems into quantum circuits.
