Improved Sample Upper and Lower Bounds for Trace Estimation of Quantum State Powers

As often emerges in various basic quantum properties such as entropy, the trace of quantum state powers $\operatorname{tr}(ρ^q)$ has attracted a lot of attention. The recent work of Liu and Wang (SODA 2025) showed that $\operatorname{tr}(ρ^q)$ can be estimated to within additive error $\varepsilon$ with a dimension-independent sample complexity of $\widetilde O(1/\varepsilon^{3+\frac{2}{q-1}})$ for any constant $q > 1$, where only an $Ω(1/\varepsilon)$ lower bound was given. In this paper, we significantly improve the sample complexity of estimating $\operatorname{tr}(ρ^q)$ in both the upper and lower bounds. In particular: - For $q > 2$, we settle the sample complexity with matching upper and lower bounds $\widetilde Θ(1/\varepsilon^2)$. - For $1 < q < 2$, we provide an upper bound $\widetilde O(1/\varepsilon^{\frac{2}{q-1}})$, with a lower bound $Ω(1/\varepsilon^{\max\{\frac{1}{q-1}, 2\}})$ for dimension-independent estimators, implying there is only room for a quadratic improvement. Our upper bounds are obtained by (non-plug-in) quantum estimators based on weak Schur sampling, in sharp contrast to the prior approach based on quantum singular value transformation and samplizer.

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Publication Details

Journal
ArXiv.org
Published
2025-05-14
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00

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article

Improved Sample Upper and Lower Bounds for Trace Estimation of Quantum State Powers

ArXiv.org
Quantum Computing Algorithms and Architecture
article

Improved Sample Upper and Lower Bounds for Trace Estimation of Quantum State Powers

article en

Abstract

As often emerges in various basic quantum properties such as entropy, the trace of quantum state powers $\operatorname{tr}(ρ^q)$ has attracted a lot of attention. The recent work of Liu and Wang (SODA 2025) showed that $\operatorname{tr}(ρ^q)$ can be estimated to within additive error $\varepsilon$ with a dimension-independent sample complexity of $\widetilde O(1/\varepsilon^{3+\frac{2}{q-1}})$ for any constant $q > 1$, where only an $Ω(1/\varepsilon)$ lower bound was given. In this paper, we significantly improve the sample complexity of estimating $\operatorname{tr}(ρ^q)$ in both the upper and lower bounds. In particular: - For $q > 2$, we settle the sample complexity with matching upper and lower bounds $\widetilde Θ(1/\varepsilon^2)$. - For $1 < q < 2$, we provide an upper bound $\widetilde O(1/\varepsilon^{\frac{2}{q-1}})$, with a lower bound $Ω(1/\varepsilon^{\max\{\frac{1}{q-1}, 2\}})$ for dimension-independent estimators, implying there is only room for a quadratic improvement. Our upper bounds are obtained by (non-plug-in) quantum estimators based on weak Schur sampling, in sharp contrast to the prior approach based on quantum singular value transformation and samplizer.

ArXiv.org
University of Edinburgh (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 73%
Quantum Computing Algorithms and Architecture
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