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          <dc:title>Linear Time Algorithm for Quantum 2SAT</dc:title>
          <dc:creator>Arad, Itai</dc:creator>
          <dc:creator>Santha, Miklos</dc:creator>
          <dc:creator>Sundaram, Aarthi</dc:creator>
          <dc:creator>Zhang, Shengyu</dc:creator>
          <dc:subject>Quantum SAT</dc:subject>
          <dc:subject>Davis-Putnam Procedure</dc:subject>
          <dc:subject>Linear Time Algorithm</dc:subject>
          <dc:description>A canonical result about satisfiability theory is that the 2-SAT problem can be solved in linear time, despite the NP-hardness of the 3-SAT problem. In the quantum 2-SAT problem, we are given a family of 2-qubit projectors Q_{ij} on a system of n qubits, and the task is to decide whether the Hamiltonian H = sum Q_{ij} has a 0-eigenvalue, or it is larger than 1/n^c for some c = O(1). The problem is not only a natural extension of the classical 2-SAT problem to the quantum case, but is also equivalent to the problem of finding the ground state of 2-local frustration-free Hamiltonians of spin 1/2, a well-studied model believed to capture certain key properties in modern condensed matter physics. While Bravyi has shown that the quantum 2-SAT problem has a classical polynomial-time algorithm, the running time of his algorithm is O(n^4). In this paper we give a classical algorithm with linear running time in the number of local projectors, therefore achieving the best possible complexity.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Itai Arad and Miklos Santha and Aarthi Sundaram and Shengyu Zhang</dc:contributor>
          <dc:date>2016</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 55, 43rd International Colloquium on Automata, Languages, and Programming (ICALP 2016)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2016.15</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-62795</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2016.15</dc:identifier>
          <dc:language>eng</dc:language>
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