An efficient high dimensional quantum Schur transform

Hari Krovi

Quantum Engineering and Computing, Physical Sciences and Systems, Raytheon BBN Technologies, Cambridge, MA

The Schur transform is a unitary operator that block diagonalizes the action of the symmetric and unitary groups on an $n$ fold tensor product $V^{\otimes n}$ of a vector space $V$ of dimension $d$. Bacon, Chuang and Harrow [5] gave a quantum algorithm for this transform that is polynomial in $n$, $d$ and $\log\epsilon^{-1}$, where $\epsilon$ is the precision. In a footnote in Harrow's thesis [18], a brief description of how to make the algorithm of [5] polynomial in $\log d$ is given using the unitary group representation theory (however, this has not been explained in detail anywhere). In this article, we present a quantum algorithm for the Schur transform that is polynomial in $n$, $\log d$ and $\log\epsilon^{-1}$ using a different approach. Specifically, we build this transform using the representation theory of the symmetric group and in this sense our technique can be considered a ''dual" algorithm to [5]. A novel feature of our algorithm is that we construct the quantum Fourier transform over the so called $\textit{permutation modules}$, which could have other applications.

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[1] Vojtěch Havlíček, Sergii Strelchuk, and Kristan Temme, "Classical algorithm for quantum SU(2) Schur sampling", Physical Review A 99 6, 062336 (2019).

[2] Gael Sentís, Alex Monràs, Ramon Muñoz-Tapia, John Calsamiglia, and Emilio Bagan, "Unsupervised classification of quantum data", arXiv:1903.01391.

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