Sample-optimal single-copy quantum state tomography via shallow depth measurements

Fuente: arXiv
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Auteurs principaux: Cho, Gyungmin, Kim, Dohun
Format: Preprint
Publié: 2025
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author Cho, Gyungmin
Kim, Dohun
author_facet Cho, Gyungmin
Kim, Dohun
contents Quantum state tomography (QST) is one of the fundamental problems in quantum information. Among various metrics, sample complexity is widely used to evaluate QST algorithms. While multi-copy measurements are known to achieve optimal sample complexity, they are challenging to implement on near-term quantum devices. In practice, single-copy measurements with shallow-depth circuits are more feasible. Although a near-optimal QST algorithm under single-qubit measurements has recently been proposed, its sample complexity does not match the known lower bound for single-copy measurements. Here, we make two contributions by employing circuits with depth $\mathcal{O}(\log n)$ on an $n$-qubit system. First, QST for rank-$r$ $d$-dimensional state $ρ$ can be achieved with sample complexity $\mathcal{O}\!\left(\tfrac{dr^2 \ln d}{ε^2}\right)$ to error $ε$ in trace distance, which is near-optimal up to a $\ln d$ factor compared to the known lower bound $Ω\left(\frac{dr^2}{ε^2}\right)$. Second, for the general case of $r = d$, we can remove the $\ln d$ factor, yielding an optimal sample complexity of $\mathcal{O}\!\left(\frac{d^3}{ε^2}\right)$.
format Preprint
id arxiv_https___arxiv_org_abs_2509_12703
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Sample-optimal single-copy quantum state tomography via shallow depth measurements
Cho, Gyungmin
Kim, Dohun
Quantum Physics
Quantum state tomography (QST) is one of the fundamental problems in quantum information. Among various metrics, sample complexity is widely used to evaluate QST algorithms. While multi-copy measurements are known to achieve optimal sample complexity, they are challenging to implement on near-term quantum devices. In practice, single-copy measurements with shallow-depth circuits are more feasible. Although a near-optimal QST algorithm under single-qubit measurements has recently been proposed, its sample complexity does not match the known lower bound for single-copy measurements. Here, we make two contributions by employing circuits with depth $\mathcal{O}(\log n)$ on an $n$-qubit system. First, QST for rank-$r$ $d$-dimensional state $ρ$ can be achieved with sample complexity $\mathcal{O}\!\left(\tfrac{dr^2 \ln d}{ε^2}\right)$ to error $ε$ in trace distance, which is near-optimal up to a $\ln d$ factor compared to the known lower bound $Ω\left(\frac{dr^2}{ε^2}\right)$. Second, for the general case of $r = d$, we can remove the $\ln d$ factor, yielding an optimal sample complexity of $\mathcal{O}\!\left(\frac{d^3}{ε^2}\right)$.
title Sample-optimal single-copy quantum state tomography via shallow depth measurements
topic Quantum Physics
url https://arxiv.org/abs/2509.12703