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Trapped Ion Quantum Computing
Quantum Simulation
Robustness analysis in static and dynamic quantum state tomography
arXiv
Authors: Alan Chen, Shuixin Xiao, Hailan Ma, Daoyi Dong
Year
2025
Paper ID
36580
Status
Preprint
Abstract Read
~2 min
Abstract Words
96
Citations
N/A
Abstract
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.
Why This Paper Matters
- This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
- It adds a 2025 reference point for readers tracking recent quantum research.
- Quantum state tomography is a core task in quantum system identification.
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