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        <identifier>oai:drops-oai.dagstuhl.de:22208</identifier>
        <datestamp>2024-12-05T15:18:03Z</datestamp>
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          <dc:title>Quantum Sabotage Complexity</dc:title>
          <dc:creator>Cornelissen, Arjan</dc:creator>
          <dc:creator>Mande, Nikhil S.</dc:creator>
          <dc:creator>Patro, Subhasree</dc:creator>
          <dc:subject>Sabotage complexity</dc:subject>
          <dc:subject>quantum query complexity</dc:subject>
          <dc:subject>Boolean functions</dc:subject>
          <dc:subject>fractional block sensitivity</dc:subject>
          <dc:description>Given a Boolean function f : {0,1}ⁿ → {0,1}, the goal in the usual query model is to compute f on an unknown input x ∈ {0,1}ⁿ while minimizing the number of queries to x. One can also consider a "distinguishing" problem denoted by f_sab: given an input x ∈ f^{-1}(0) and an input y ∈ f^{-1}(1), either all differing bits are replaced by a *, or all differing bits are replaced by †, and an algorithm’s goal is to identify which of these is the case while minimizing the number of queries.&#13;
Ben-David and Kothari [ToC'18] introduced the notion of randomized sabotage complexity of a Boolean function to be the zero-error randomized query complexity of f_sab. A natural follow-up question is to understand the 𝖰(f_sab), the quantum query complexity of f_sab. In this paper, we initiate a systematic study of this. The following are our main results for all Boolean functions f : {0,1}ⁿ → {0,1}.  &#13;
- If we have additional query access to x and y, then 𝖰(f_sab) = O(min{𝖰(f),√n}). &#13;
- If an algorithm is also required to output a differing index of a 0-input and a 1-input, then 𝖰(f_sab) = O(min{𝖰(f)^{1.5}, √n}). &#13;
- 𝖰(f_sab) = Ω(√{fbs(f)}), where fbs(f) denotes the fractional block sensitivity of f. By known results, along with the results in the previous bullets, this implies that 𝖰(f_sab) is polynomially related to 𝖰(f). &#13;
- The bound above is easily seen to be tight for standard functions such as And, Or, Majority and Parity. We show that when f is the Indexing function, 𝖰(f_sab) = Θ(fbs(f)), ruling out the possibility that 𝖰(f_sab) = Θ(√{fbs(f)}) for all f.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Arjan Cornelissen and Nikhil S. Mande and Subhasree Patro</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 323, 44th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2024)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.FSTTCS.2024.19</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-222082</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSTTCS.2024.19</dc:identifier>
          <dc:language>eng</dc:language>
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