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        <identifier>oai:drops-oai.dagstuhl.de:27393</identifier>
        <datestamp>2026-08-21T14:42:38Z</datestamp>
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          <dc:title>A Slightly Improved Upper Bound for Quantum Statistical Zero-Knowledge</dc:title>
          <dc:creator>Le Gall, François</dc:creator>
          <dc:creator>Liu, Yupan</dc:creator>
          <dc:creator>Wang, Qisheng</dc:creator>
          <dc:subject>Quantum statistical zero-knowledge</dc:subject>
          <dc:subject>Algorithmic Holevo-Helstrom measurement</dc:subject>
          <dc:subject>Algorithmic Uhlmann transform</dc:subject>
          <dc:description>The complexity class Quantum Statistical Zero-Knowledge (QSZK), introduced by Watrous (FOCS 2002) and later refined in Watrous (SICOMP, 2009), has the best known upper bound QIP(2) ∩ co-QIP(2), which was simplified following the inclusion QIP(2) ⊆ PSPACE established in Jain, Upadhyay, and Watrous (FOCS 2009). Here, QIP(2) denotes the class of promise problems that admit two-message quantum interactive proof systems in which the honest prover is typically computationally unbounded, and co-QIP(2) denotes the complement of QIP(2).&#13;
We slightly improve this upper bound to QIP(2) ∩ co-QIP(2) with a quantum linear-space honest prover. Specifically, the honest prover uses space linear in the size of the transcript of the original QSZK proof system. A similar improvement also applies to the upper bound for the non-interactive variant NIQSZK. Our main techniques are algorithmic versions of the Holevo-Helstrom measurement and the Uhlmann transform, both implementable in quantum linear space, implying polynomial-time complexity in the state dimension, using the recent space-efficient quantum singular value transformation of Le Gall, Liu, and Wang (CC, to appear).</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>François Le Gall and Yupan Liu and Qisheng Wang</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 386, 51st International Symposium on Mathematical Foundations of Computer Science (MFCS 2026)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.MFCS.2026.12</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-273933</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2026.12</dc:identifier>
          <dc:language>eng</dc:language>
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