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.
Authors
- Jeongwan Haah (ORCID: https://orcid.org/0000-0002-1087-6853)
- Yunchao Liu (ORCID: https://orcid.org/0000-0003-1297-6396)
- Xinyu Tan (ORCID: https://orcid.org/0000-0002-7749-2168)
Institutions
- Microsoft (United States) (US)
- Massachusetts Institute of Technology (US)
- University of California, Berkeley (US)
Publication Details
- 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
Funders
- National Science Foundation
- U.S. Department of Energy