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        <identifier>oai:drops-oai.dagstuhl.de:25348</identifier>
        <datestamp>2026-03-19T12:03:51Z</datestamp>
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          <dc:title>Random Unitaries in Constant (Quantum) Time</dc:title>
          <dc:creator>Foxman, Ben</dc:creator>
          <dc:creator>Parham, Natalie</dc:creator>
          <dc:creator>Vasconcelos, Francisca</dc:creator>
          <dc:creator>Yuen, Henry</dc:creator>
          <dc:subject>Quantum Information</dc:subject>
          <dc:subject>Pseudorandomness</dc:subject>
          <dc:subject>Circuit Complexity</dc:subject>
          <dc:description>Random unitaries are a central object of study in quantum information, with applications to quantum computation, quantum many-body physics, and quantum cryptography. Recent work has constructed unitary designs and pseudorandom unitaries (PRUs) using Θ(log log n)-depth unitary circuits with two-qubit gates. &#13;
In this work, we show that unitary designs and PRUs can be efficiently constructed in several well-studied models of constant-time quantum computation (i.e., the time complexity on the quantum computer is independent of the system size). These models are constant-depth circuits augmented with certain nonlocal operations, such as (a) many-qubit TOFFOLI gates, (b) many-qubit FANOUT gates, or (c) mid-circuit measurements with classical feedforward control. Recent advances in quantum computing hardware suggest experimental feasibility of these models in the near future. &#13;
Our results demonstrate that unitary designs and PRUs can be constructed in much weaker circuit models than previously thought. Furthermore, our construction of PRUs in constant-depth with many-qubit TOFFOLI gates shows that, under cryptographic assumptions, there is no polynomial-time learning algorithm for the circuit class QAC⁰. Finally, our results suggest a new approach towards proving that PARITY is not computable in QAC⁰, a long-standing question in quantum complexity theory.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Ben Foxman and Natalie Parham and Francisca Vasconcelos and Henry Yuen</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 362, 17th Innovations in Theoretical Computer Science Conference (ITCS 2026)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ITCS.2026.61</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-253481</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2026.61</dc:identifier>
          <dc:language>eng</dc:language>
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