Robustness analysis in static and dynamic quantum state tomography

Fuente: arXiv
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Autori principali: Chen, Alan, Xiao, Shuixin, Ma, Hailan, Dong, Daoyi
Natura: Preprint
Pubblicazione: 2025
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author Chen, Alan
Xiao, Shuixin
Ma, Hailan
Dong, Daoyi
author_facet Chen, Alan
Xiao, Shuixin
Ma, Hailan
Dong, Daoyi
contents Quantum state tomography is a core task in quantum system identification. Real experimental conditions often deviate from nominal designs, introducing errors in both the measurement devices and the Hamiltonian governing the system's dynamics. In this paper, we investigate the robustness of quantum state tomography against such perturbations in both static and dynamic settings using linear regression estimation. We derive explicit bounds that quantify how bounded errors in the measurement devices and the Hamiltonian affect the mean squared error (MSE) upper bound in each scenario. Numerical simulations for qubit systems illustrate how these bounds scale with resources.
format Preprint
id arxiv_https___arxiv_org_abs_2512_12518
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Robustness analysis in static and dynamic quantum state tomography
Chen, Alan
Xiao, Shuixin
Ma, Hailan
Dong, Daoyi
Quantum Physics
Systems and Control
Quantum state tomography is a core task in quantum system identification. Real experimental conditions often deviate from nominal designs, introducing errors in both the measurement devices and the Hamiltonian governing the system's dynamics. In this paper, we investigate the robustness of quantum state tomography against such perturbations in both static and dynamic settings using linear regression estimation. We derive explicit bounds that quantify how bounded errors in the measurement devices and the Hamiltonian affect the mean squared error (MSE) upper bound in each scenario. Numerical simulations for qubit systems illustrate how these bounds scale with resources.
title Robustness analysis in static and dynamic quantum state tomography
topic Quantum Physics
Systems and Control
url https://arxiv.org/abs/2512.12518