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        <identifier>oai:drops-oai.dagstuhl.de:27063</identifier>
        <datestamp>2026-07-23T11:36:19Z</datestamp>
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          <dc:title>Wide Replacement Products Meet Gray Codes: Toward Optimal Small-Bias Sets</dc:title>
          <dc:creator>Cohen, Gil</dc:creator>
          <dc:creator>Cohen, Itay</dc:creator>
          <dc:subject>small-bias sets</dc:subject>
          <dc:subject>bias amplification</dc:subject>
          <dc:subject>expansion-amplification</dc:subject>
          <dc:subject>gray codes</dc:subject>
          <dc:description>Optimal small-bias sets sit at the crossroads of coding theory and pseudorandomness. Reaching optimal parameters would, in particular, meet the long-standing goal of matching the Gilbert-Varshamov bound for binary codes in the high-distance regime. In a breakthrough, Ta-Shma [Ta-Shma, 2017] constructed near-optimal small-bias sets via the Rozenman-Wigderson expander-walk framework, using the wide-replacement product to maintain s "secure" registers and to route the walk through them. Within this framework, two barriers remain en route to optimal small-bias sets: (i) the cost of maintaining registers and (ii) limitations inherited from spectral-gap bounds for expanders.&#13;
We overcome the first - arguably the more critical - barrier. Our key technical insight is that registers can be reused even after they are exposed. Using a Gray-code-style reuse schedule, we recycle the same s registers exponentially many times in s, thereby reducing the register-maintenance cost exponentially. This yields the first improvement over Ta-Shma’s construction in nearly a decade - quantitatively modest but an important first step toward a truly optimal construction. The remaining barrier is fairly standard in isolation; the challenge is to overcome it in concert with our register-reuse framework.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Gil Cohen and Itay Cohen</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 383, 41st Computational Complexity Conference (CCC 2026)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.CCC.2026.21</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-270631</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CCC.2026.21</dc:identifier>
          <dc:language>eng</dc:language>
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