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        <identifier>oai:drops-oai.dagstuhl.de:14304</identifier>
        <datestamp>2024-03-06T10:53:55Z</datestamp>
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          <dc:title>On Query-To-Communication Lifting for Adversary Bounds</dc:title>
          <dc:creator>Anshu, Anurag</dc:creator>
          <dc:creator>Ben-David, Shalev</dc:creator>
          <dc:creator>Kundu, Srijita</dc:creator>
          <dc:subject>Quantum computing</dc:subject>
          <dc:subject>query complexity</dc:subject>
          <dc:subject>communication complexity</dc:subject>
          <dc:subject>lifting theorems</dc:subject>
          <dc:subject>adversary method</dc:subject>
          <dc:description>We investigate query-to-communication lifting theorems for models related to the quantum adversary bounds. Our results are as follows:  &#13;
1) We show that the classical adversary bound lifts to a lower bound on randomized communication complexity with a constant-sized gadget. We also show that the classical adversary bound is a strictly stronger lower bound technique than the previously-lifted measure known as critical block sensitivity, making our lifting theorem one of the strongest lifting theorems for randomized communication complexity using a constant-sized gadget. &#13;
2) Turning to quantum models, we show a connection between lifting theorems for quantum adversary bounds and secure 2-party quantum computation in a certain "honest-but-curious" model. Under the assumption that such secure 2-party computation is impossible, we show that a simplified version of the positive-weight adversary bound lifts to a quantum communication lower bound using a constant-sized gadget. We also give an unconditional lifting theorem which lower bounds bounded-round quantum communication protocols. &#13;
3) Finally, we give some new results in query complexity. We show that the classical adversary and the positive-weight quantum adversary are quadratically related. We also show that the positive-weight quantum adversary is never larger than the square of the approximate degree. Both relations hold even for partial functions.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Anurag Anshu and Shalev Ben-David and Srijita Kundu</dc:contributor>
          <dc:date>2021</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 200, 36th Computational Complexity Conference (CCC 2021)</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.2021.30</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-143042</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CCC.2021.30</dc:identifier>
          <dc:language>eng</dc:language>
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