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        <identifier>oai:drops-oai.dagstuhl.de:18294</identifier>
        <datestamp>2024-03-06T11:01:32Z</datestamp>
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          <dc:title>An Exponential Separation Between Quantum Query Complexity and the Polynomial Degree</dc:title>
          <dc:creator>Ambainis, Andris</dc:creator>
          <dc:creator>Belovs, Aleksandrs</dc:creator>
          <dc:subject>Polynomials</dc:subject>
          <dc:subject>Quantum Adversary Bound</dc:subject>
          <dc:subject>Separations in Query Complexity</dc:subject>
          <dc:description>While it is known that there is at most a polynomial separation between quantum query complexity and the polynomial degree for total functions, the precise relationship between the two is not clear for partial functions.&#13;
In this paper, we demonstrate an exponential separation between exact polynomial degree and approximate quantum query complexity for a partial Boolean function. For an unbounded alphabet size, we have a constant versus polynomial separation.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Andris Ambainis and Aleksandrs Belovs</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 264, 38th Computational Complexity Conference (CCC 2023)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.CCC.2023.24</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-182943</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CCC.2023.24</dc:identifier>
          <dc:language>eng</dc:language>
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