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Quantum Physics

arXiv:2407.07754 (quant-ph)
[Submitted on 10 Jul 2024 (v1), last revised 4 Jan 2025 (this version, v2)]

Title:Random unitaries in extremely low depth

Authors:Thomas Schuster, Jonas Haferkamp, Hsin-Yuan Huang
View a PDF of the paper titled Random unitaries in extremely low depth, by Thomas Schuster and 2 other authors
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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.
Comments: 12 pages, 6 figures + 48-page appendix; v2: simplified proofs, added new results and updated refs
Subjects: Quantum Physics (quant-ph); Strongly Correlated Electrons (cond-mat.str-el); Computational Complexity (cs.CC); Information Theory (cs.IT)
Cite as: arXiv:2407.07754 [quant-ph]
  (or arXiv:2407.07754v2 [quant-ph] for this version)
  https://doi.org/10.48550/arXiv.2407.07754
arXiv-issued DOI via DataCite

Submission history

From: Hsin-Yuan Huang [view email]
[v1] Wed, 10 Jul 2024 15:27:48 UTC (3,183 KB)
[v2] Sat, 4 Jan 2025 09:19:23 UTC (3,186 KB)
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