Efficient Approximate Unitary Designs from Random Pauli Rotations

We construct random walks on simple Lie groups that quickly converge to the Haar measure for all moments up to order <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$t$</tex>. Specifically, a step of the walk on the unitary or orthogonal group of dimension <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2^{\mathrm{n}}$</tex> is a random Pauli rotation <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$e^{\mathrm{i}\theta P/2}$</tex>. The spectral gap of this random walk is shown to be <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\Omega(1/t)$</tex>, which coincides with the best previously known bound for a random walk on the permutation group on <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\{0,1\}^{\mathrm{n}}$</tex>. This implies that the walk gives an <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\varepsilon$</tex> -approximate unitary t-design in depth <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathcal{O}(\mathrm{n}t^{2}+t\log\frac{1}{\varepsilon})d$</tex> where <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$d=\mathrm{O}(\log \mathrm{n})$</tex> is the circuit depth to implement <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$e^{\mathrm{i}\theta P/2}$</tex>. Our simple proof uses quadratic Casimir operators of Lie algebras.

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Published
2024-10-27
DOI
https://doi.org/10.1109/focs61266.2024.00036
Citations
13
Primary Topic
Optimal Experimental Design Methods
Type
article
Field-Weighted Citation Impact
5.89

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article

Efficient Approximate Unitary Designs from Random Pauli Rotations

Jeongwan Haah, Yunchao Liu, Xinyu Tan
13 citations
Optimal Experimental Design Methods
5.89
article

Efficient Approximate Unitary Designs from Random Pauli Rotations

Jeongwan Haah, Yunchao Liu, Xinyu Tan
article en
13 citations

Abstract

We construct random walks on simple Lie groups that quickly converge to the Haar measure for all moments up to order <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$t$</tex>. Specifically, a step of the walk on the unitary or orthogonal group of dimension <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2^{\mathrm{n}}$</tex> is a random Pauli rotation <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$e^{\mathrm{i}\theta P/2}$</tex>. The spectral gap of this random walk is shown to be <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\Omega(1/t)$</tex>, which coincides with the best previously known bound for a random walk on the permutation group on <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\{0,1\}^{\mathrm{n}}$</tex>. This implies that the walk gives an <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\varepsilon$</tex> -approximate unitary t-design in depth <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathcal{O}(\mathrm{n}t^{2}+t\log\frac{1}{\varepsilon})d$</tex> where <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$d=\mathrm{O}(\log \mathrm{n})$</tex> is the circuit depth to implement <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$e^{\mathrm{i}\theta P/2}$</tex>. Our simple proof uses quadratic Casimir operators of Lie algebras.

Microsoft (United States) (US), Massachusetts Institute of Technology (US), University of California, Berkeley (US)
National Science Foundation, U.S. Department of Energy
Openalex Percentile: Top 4%
Optimal Experimental Design Methods
5.89
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