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        <datestamp>2024-03-06T10:45:23Z</datestamp>
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          <dc:title>Torus Polynomials: An Algebraic Approach to ACC Lower Bounds</dc:title>
          <dc:creator>Bhrushundi, Abhishek</dc:creator>
          <dc:creator>Hosseini, Kaave</dc:creator>
          <dc:creator>Lovett, Shachar</dc:creator>
          <dc:creator>Rao, Sankeerth</dc:creator>
          <dc:subject>Circuit complexity</dc:subject>
          <dc:subject>ACC</dc:subject>
          <dc:subject>lower bounds</dc:subject>
          <dc:subject>polynomials</dc:subject>
          <dc:description>We propose an algebraic approach to proving circuit lower bounds for ACC^0 by defining and studying the notion of torus polynomials. We show how currently known polynomial-based approximation results for AC^0 and ACC^0 can be reformulated in this framework, implying that ACC^0 can be approximated by low-degree torus polynomials. Furthermore, as a step towards proving ACC^0 lower bounds for the majority function via our approach, we show that MAJORITY cannot be approximated by low-degree symmetric torus polynomials. We also pose several open problems related to our framework.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Abhishek Bhrushundi and Kaave Hosseini and Shachar Lovett and Sankeerth Rao</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 124, 10th Innovations in Theoretical Computer Science Conference (ITCS 2019)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ITCS.2019.13</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-101066</dc:identifier>
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          <dc:language>eng</dc:language>
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