Efficient approximate unitary designs from random Pauli rotations
Jeongwan Haah, Yunchao Liu, Xinyu Tan
TL;DR
This paper demonstrates that random Pauli rotations generate efficient approximate unitary t-designs by analyzing the t-th moment channel through the lens of Lie-algebra representations and quadratic Casimir operators. It proves a spectral gap of Ω(1/t) for the associated random-walk on SU(2^n) and establishes an ε-approximate unitary t-design in depth roughly O(n t^2 + t log 1/ε) with polylogarithmic circuit depth to implement each Pauli rotation. The approach yields strong implications for circuit complexity, seed-length efficiency via discrete or derandomized sampling, and extends to orthogonal designs (SO(N)) with analogous guarantees. Central to the argument are the kernel-projection bounds obtained from averaging over random Pauli rotations and the Casimir-based bounds that bound sums of Pauli-squared representations across irreps. Overall, the work provides a conceptually simple, scalable method to achieve high-quality random designs with explicit, near-optimal t-dependence and practical circuit-depth metrics.
Abstract
We construct random walks on simple Lie groups that quickly converge to the Haar measure for all moments up to order $t$. Specifically, a step of the walk on the unitary or orthognoal group of dimension $2^{\mathsf n}$ is a random Pauli rotation $e^{\mathrm i θP /2}$. The spectral gap of this random walk is shown to be $Ω(1/t)$, which coincides with the best previously known bound for a random walk on the permutation group on $\{0,1\}^{\mathsf n}$. This implies that the walk gives an $\varepsilon$-approximate unitary $t$-design in depth $O(\mathsf n t^2 + t \log 1/\varepsilon)d$ where $d=O(\log \mathsf n)$ is the circuit depth to implement $e^{\mathrm i θP /2}$. Our simple proof uses quadratic Casimir operators of Lie algebras.
