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        <identifier>oai:drops-oai.dagstuhl.de:26500</identifier>
        <datestamp>2026-09-05T19:45:25Z</datestamp>
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          <dc:title>On the (Classical and Quantum) Fine-Grained Complexity of Approximate CVP and Max-Cut</dc:title>
          <dc:creator>Huang, Jeremy Ahrens</dc:creator>
          <dc:creator>Ko, Young Kun</dc:creator>
          <dc:creator>Wang, Chunhao</dc:creator>
          <dc:subject>fine-grained complexity</dc:subject>
          <dc:subject>instance compression</dc:subject>
          <dc:subject>quantum algorithms</dc:subject>
          <dc:subject>approximation algorithms</dc:subject>
          <dc:subject>CVP</dc:subject>
          <dc:subject>Max-Cut</dc:subject>
          <dc:subject>Min-UnCut</dc:subject>
          <dc:subject>Max-2-Lin</dc:subject>
          <dc:subject>approximation-preserving reductions</dc:subject>
          <dc:description>We show a linear-size reduction from gap Max-2-Lin(2) (a generalization of the approximate Maximum Cut, or gap Max-Cut, problem) to γ-CVP_p for γ = O(1) and finite p ≥ 1, as well as a no-go theorem against poly-sized non-adaptive quantum reductions from k-SAT to CVP₂. This implies three headline results:&#13;
(i) Faster algorithms for γ-CVP_p are also faster algorithms for Max-2-Lin(2) and Max-Cut. Depending on the approximation regime, even a 2^{0.78n}-time or 2^{0.3n}-time algorithm would improve upon state-of-the-art algorithms such as Williams' 2004 algorithm [TCS 2005] or Arora, Barak, and Steurer’s 2010 algorithm [JACM 2015]. This provides evidence that γ-CVP_p for γ = O(1) requires exponential time, improving upon the previous exponential lower-bound for γ-CVP₂ with γ &lt; 3 by Bennett, Golovnev, and Stephens-Davidowitz [FOCS 2017].&#13;
(ii) A new almost 2^{(1/2 + ε/4ς + o(1)) n}-time classical algorithm and a new almost 2^{(1/3 + ε/6ς + o(1)) n}-time quantum algorithm for (1-ε, 1-ς)-gap Max-Cut. This algorithm is faster than the algorithm of Arora, Barak and Steurer [JACM 2015], as well as the algorithm of Williams [TCS 2005], and the algorithm of Manurangsi and Trevisan [APPROX 2018] when c₀ ε &lt; ς &lt; c₁ ε for constants c₀, c₁. &#13;
(iii) If the Quantum Strong Exponential Time Hypothesis (QSETH) can be used to show a 2^{δ n}-time lower-bound for Max-Cut, Max-2-Lin(2), or CVP₂ for any constant δ &gt; 0, it must be via an adaptive quantum reduction unless NP ⊆ pr-QSZK. This illuminates some difficulties in characterizing the hardness of approximate constraint satisfaction problems and shows that the post-quantum security of lattice-based cryptography likely cannot be supported by QSETH. This result complements the no-go results of Aggarwal and Kumar [FOCS 2023], who showed that the classical security of lattice-based cryptography likely cannot be supported by the classical Strong Exponential Time Hypothesis (SETH).</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Jeremy Ahrens Huang and Young Kun Ko and Chunhao Wang</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 374, 53rd International Colloquium on Automata, Languages, and Programming (ICALP 2026)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2026.111</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-265001</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2026.111</dc:identifier>
          <dc:language>eng</dc:language>
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