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Noisy Boolean Hidden Matching with Applications

Talkat ITCS 2022 · 2022-01-31..02-03
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Defines p-noisy Boolean hidden matching where each matching edge flips independently with probability p and proves the plaintext protocol is optimal, giving communication complexity Θ(√n / p) (and Θ(n^{1-1/T}/p) for hypermatching). Uses an information-theoretic reduction that decomposes the noisy instance into ~1/p ordinary BHM instances, and a four-vertex gadget plus short cycles construction that makes incorrect labels produce odd cycles. Yields streaming lower bounds like Ω(√n / ε) space for 1±ε MaxCut/MaxMatching/Max-acyclic approximations.

AI-written summary · about

  1. 0:00Start
  2. 1:36Applications
  3. 3:53Max Cut
  4. 8:39Noisy Boolean Hidden Matching
  5. 9:52Protocol
  6. 12:07Our Results
  7. 13:30Fourier Analysis
  8. 16:26Proof sketch
  9. 22:04Summary
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