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arXiv:2407.07754quant-ph

Random unitaries in extremely low depth

Thomas Schuster, Jonas Haferkamp, Hsin-Yuan Huang

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Abstract

We prove that random quantum circuits on any geometry, including a 1D line, can form approximate unitary designs over $n$ qubits in $\log n$ depth. In a similar manner, we construct pseudorandom unitaries (PRUs) in 1D circuits in $\text{poly}(\log n)$ depth, and in all-to-all-connected circuits in $\text{poly}(\log \log n)$ depth. In all three cases, the $n$ dependence is optimal and improves exponentially over known results. These shallow quantum circuits have low complexity and create only short-range entanglement, yet are indistinguishable from unitaries with exponential complexity. Our construction glues local random unitaries on $\log n$-sized or $\text{poly}(\log n)$-sized patches of qubits to form a global random unitary on all $n$ qubits. In the case of designs, the local unitaries are drawn from existing constructions of approximate unitary $k$-designs, and hence also inherit an optimal scaling in $k$. In the case of PRUs, the local unitaries are drawn from existing PRU constructions. Applications of our results include proving that classical shadows with 1D log-depth Clifford circuits are as powerful as those with deep circuits, demonstrating superpolynomial quantum advantage in learning low-complexity physical systems, and establishing quantum hardness for recognizing phases of matter with topological order.

arXiv comments
12 pages, 6 figures + 48-page appendix; v2: simplified proofs, added new results and updated refs
Journal reference
DOI
Subjects
quant-phQuantum Physics cond-mat.str-elStrongly Correlated Electrons cs.CCComputational Complexity cs.ITInformation Theory

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    • This excerpt misses the wider point of the paper. The paragraph immediately following the one you quote still does make claims of quantum advantage: "Our second order OTOC circuits introduce a minimal structure while remaining sufficiently generic that circumvents this challenge…

      qnleighView on HNParent context

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