Sample-Preserving Search-to-Decision Reduction for Noisy Linear Equations over Large Moduli
Researchers give a sample-preserving search-to-decision reduction for noisy linear equations that stays polynomial for exponential moduli.
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Researchers give a sample-preserving search-to-decision reduction for noisy linear equations that stays polynomial for exponential moduli.
Authors construct trapdoored Clifford operators that look random but implement much faster with a secret trapdoor.
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