An Improved Sample Complexity Lower Bound for (Fidelity) Quantum State Tomography

An Improved Sample Complexity Lower Bound for (Fidelity) Quantum State Tomography

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Henry Yuen

Columbia University

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Abstract

We show that $Omega(rd/epsilon)$ copies of an unknown rank-$r$, dimension-$d$ quantum mixed state are necessary in order to learn a classical description with $1 – epsilon$ fidelity. This improves upon the tomography lower bounds obtained by Haah, et al. and Wright (when closeness is measured with respect to the fidelity function).

This paper presents a sharper lower bound on the number of copies of a quantum state needed to learn a classical description of it.

► BibTeX data

► References

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Cited by

[1] Nic Ezzell, Elliott M. Ball, Aliza U. Siddiqui, Mark M. Wilde, Andrew T. Sornborger, Patrick J. Coles, and Zoë Holmes, "Quantum Mixed State Compiling", arXiv:2209.00528.

[2] Ming-Chien Hsu, En-Jui Kuo, Wei-Hsuan Yu, Jian-Feng Cai, and Min-Hsiu Hsieh, "Quantum state tomography via non-convex Riemannian gradient descent", arXiv:2210.04717.

[3] Joran van Apeldoorn, Arjan Cornelissen, András Gilyén, and Giacomo Nannicini, "Quantum tomography using state-preparation unitaries", arXiv:2207.08800.

[4] Srinivasan Arunachalam, Sergey Bravyi, Arkopal Dutt, and Theodore J. Yoder, "Optimal algorithms for learning quantum phase states", arXiv:2208.07851.

The above citations are from SAO/NASA ADS (last updated successfully 2023-01-03 14:40:21). The list may be incomplete as not all publishers provide suitable and complete citation data.

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