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        <datestamp>2024-03-06T10:53:22Z</datestamp>
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          <dc:title>Fault-Tolerant Syndrome Extraction and Cat State Preparation with Fewer Qubits</dc:title>
          <dc:creator>Prabhu, Prithviraj</dc:creator>
          <dc:creator>Reichardt, Ben W.</dc:creator>
          <dc:subject>Quantum error correction</dc:subject>
          <dc:subject>fault tolerance</dc:subject>
          <dc:subject>quantum state preparation</dc:subject>
          <dc:subject>combinatorics</dc:subject>
          <dc:description>We reduce the extra qubits needed for two fault-tolerant quantum computing protocols: error correction, specifically syndrome bit measurement, and cat state preparation. For fault-tolerant syndrome extraction, we show an exponential reduction in qubit overhead over the previous best protocol. For a weight-w stabilizer, we demonstrate that stabilizer measurement tolerating one fault (distance-three) needs at most ⌈ log₂ w ⌉ + 1 ancillas. If qubits reset quickly, four ancillas suffice. We also study the preparation of cat states, simple yet versatile entangled states. We prove that the overhead needed for distance-three fault tolerance is only logarithmic in the cat state size. These results could be useful both for near-term experiments with a few qubits, and for the general study of the asymptotic resource requirements of syndrome measurement and state preparation.&#13;
For 'a' measured flag bits, there are 2^a possible flag patterns that can identify faults. Hence our results come from solving a combinatorial problem: the construction of maximal-length paths in the a-dimensional hypercube, corresponding to maximal-weight stabilizers or maximal-weight cat states.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Prithviraj Prabhu and Ben W. Reichardt</dc:contributor>
          <dc:date>2021</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 197, 16th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2021)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.TQC.2021.5</dc:identifier>
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          <dc:language>eng</dc:language>
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