Asymptotically-Good RLCCs with (log n)2+o(1) Queries

Gil Cohen, Tal Yankovitz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Recently, Kumar and Mon reached a significant milestone by constructing asymptotically good relaxed locally correctable codes (RLCCs) with poly-logarithmic query complexity. Specifically, they constructed n-bit RLCCs with O(log69 n) queries. Their construction relies on a clever reduction to locally testable codes (LTCs), capitalizing on recent breakthrough works in LTCs. As for lower bounds, Gur and Lachish (SICOMP 2021) proved that any asymptotically-good RLCC must make Ω(e √log n) queries. Hence emerges the intriguing question regarding the identity of the least value 12 ≤ e ≤ 69 for which asymptotically-good RLCCs with query complexity (log n)e+o(1) exist. In this work, we make substantial progress in narrowing the gap by devising asymptotically-good RLCCs with a query complexity of (log n)2+o(1). The key insight driving our work lies in recognizing that the strong guarantee of local testability overshoots the requirements for the Kumar-Mon reduction. In particular, we prove that we can replace the LTCs by “vanilla” expander codes which indeed have the necessary property: local testability in the code’s vicinity.

Original languageEnglish
Title of host publication39th Computational Complexity Conference, CCC 2024
EditorsRahul Santhanam
ISBN (Electronic)9783959773317
DOIs
StatePublished - Jul 2024
Event39th Computational Complexity Conference, CCC 2024 - Ann Arbor, United States
Duration: 22 Jul 202425 Jul 2024

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume300

Conference

Conference39th Computational Complexity Conference, CCC 2024
Country/TerritoryUnited States
CityAnn Arbor
Period22/07/2425/07/24

Keywords

  • Relaxed locally decodable codes
  • Relxaed locally correctable codes
  • RLCC
  • RLDC

All Science Journal Classification (ASJC) codes

  • Software

Cite this