DOE OSTI · 2446948
Dual-unitary shadow tomography
Abstract
We introduce a classical shadow tomography scheme based on dual-unitary brick-wall circuits termed "dual-unitary shadow tomography" (DUST). For this we study operator spreading and Pauli weight dynamics in one-dimensional qubit systems, evolved by random two-local dual-unitary gates arranged in a brick-wall structure, ending with a final measurement layer. We do this by deriving general constraints on the Pauli weight transfer matrix and specializing to the case of dual-unitarity. We first show that dual-unitaries must have a minimal amount of entropy production. Remarkably, we find that operator spreading in these circuits have a rich structure resembling that of relativistic quantum field theories, with massless chiral excitations that can decay or fuse into each other, which we call left- or right-movers. We develop a mean-field description of the Pauli weight in terms of $\rho(x,t)$, which represents the probability of having nontrivial support at site $x$ and depth $t$ starting from a fixed weight distribution. We develop an equation of state for $\rho(x,t)$, and simulate it numerically using Monte Carlo simulations. Lastly, we demonstrate that the fast-thermalizing properties of dual-unitary circuits make them better at predicting large operators than shallow brick-wall Clifford circuits. Our results are robust to finite-size effects due to the chirality of dual-unitary brick-wall circuits.
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Akhtar, Ahmed A. [Univ. of California, San Diego, CA (United States); Ames Research Center, Moffett Field, CA (United States); KBR, Inc., Houston, TX (United States)], Anand, Namit [Ames Research Center, Moffett Field, CA (United States); KBR, Inc., Houston, TX (United States)], Marshall, Jeffrey [Ames Research Center, Moffett Field, CA (United States); USRA Research Institute for Advanced Computer Science, Mountain View, CA (United States)], You, Yi-Zhuang [Univ. of California, San Diego, CA (United States)] (ORCID:0000000340805340). 2025-07-29. Dual-unitary shadow tomography. https://doi.org/10.22331/q-2025-07-29-1816
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