PulseAugur
EN
LIVE 22:19:36

LLM-guided search discovers new quantum codes

By PulseAugur Editorial · [3 sources] ·

Researchers have developed an LLM-guided evolutionary workflow to discover quantum LDPC codes. This system uses language models to mutate Python programs that generate code candidates, which are then rigorously validated through a multi-stage pipeline. The process screened approximately 200,000 codes over five campaigns, costing around $400 in LLM inference and 140 hours of computation, ultimately identifying 465 distinct candidate codes. AI

IMPACT Demonstrates LLM-guided program evolution as a practical method for accelerating scientific discovery in specialized fields like quantum coding.

RANK_REASON The cluster contains an academic paper detailing a new research methodology for discovering quantum codes using LLMs.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

COVERAGE [3]

  1. arXiv cs.AI TIER_1 English(EN) · Juan Cruz-Benito, Andrew W. Cross, David Kremer, Ismael Faro ·

    Evolutionary Discovery of Bivariate Bicycle Codes with LLM-Guided Search

    arXiv:2606.02418v1 Announce Type: cross Abstract: Quantum LDPC code discovery requires searching large algebraic design spaces while reliably certifying the parameters and equivalence classes of any candidates found. We introduce an LLM-guided evolutionary workflow in which langu…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Evolutionary Discovery of Bivariate Bicycle Codes with LLM-Guided Search

    Quantum LDPC code discovery requires searching large algebraic design spaces while reliably certifying the parameters and equivalence classes of any candidates found. We introduce an LLM-guided evolutionary workflow in which language models mutate Python programs that generate bi…

  3. arXiv cs.AI TIER_1 English(EN) · Ismael Faro ·

    Evolutionary Discovery of Bivariate Bicycle Codes with LLM-Guided Search

    Quantum LDPC code discovery requires searching large algebraic design spaces while reliably certifying the parameters and equivalence classes of any candidates found. We introduce an LLM-guided evolutionary workflow in which language models mutate Python programs that generate bi…

RELATED ENTITIES

RELATED TOPICS