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        <identifier>oai:drops-oai.dagstuhl.de:13569</identifier>
        <datestamp>2024-03-06T10:52:20Z</datestamp>
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          <dc:title>Spoofing Linear Cross-Entropy Benchmarking in Shallow Quantum Circuits</dc:title>
          <dc:creator>Barak, Boaz</dc:creator>
          <dc:creator>Chou, Chi-Ning</dc:creator>
          <dc:creator>Gao, Xun</dc:creator>
          <dc:subject>Quantum supremacy</dc:subject>
          <dc:subject>Linear cross-entropy benchmark</dc:subject>
          <dc:description>The linear cross-entropy benchmark (Linear XEB) has been used as a test for procedures simulating quantum circuits. Given a quantum circuit C with n inputs and outputs and purported simulator whose output is distributed according to a distribution p over {0,1}ⁿ, the linear XEB fidelity of the simulator is ℱ_C(p) = 2ⁿ 𝔼_{x ∼ p} q_C(x) -1, where q_C(x) is the probability that x is output from the distribution C |0ⁿ⟩. A trivial simulator (e.g., the uniform distribution) satisfies ℱ_C(p) = 0, while Google’s noisy quantum simulation of a 53-qubit circuit C achieved a fidelity value of (2.24 ±0.21)×10^{-3} (Arute et. al., Nature'19).&#13;
In this work we give a classical randomized algorithm that for a given circuit C of depth d with Haar random 2-qubit gates achieves in expectation a fidelity value of Ω(n/L⋅15^{-d}) in running time poly(n,2^L). Here L is the size of the light cone of C: the maximum number of input bits that each output bit depends on. In particular, we obtain a polynomial-time algorithm that achieves large fidelity of ω(1) for depth O(√{log n}) two-dimensional circuits. This is the first such result for two dimensional circuits of super-constant depth. Our results can be considered as an evidence that fooling the linear XEB test might be easier than achieving a full simulation of the quantum circuit.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Boaz Barak and Chi-Ning Chou and Xun Gao</dc:contributor>
          <dc:date>2021</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 185, 12th Innovations in Theoretical Computer Science Conference (ITCS 2021)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ITCS.2021.30</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-135699</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2021.30</dc:identifier>
          <dc:language>eng</dc:language>
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