Quantum state tomography as a numerical optimization problem

Quantum state tomography as a numerical optimization problem

We present a framework that formulates the quest for the most efficient quantum state tomography (QST) measurement set as an optimization problem which can be solved numerically, where the optimization goal is the maximization of the information gain. This approach can be applied to a broad spectrum...

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Bibliographic Details
Main Authors: Violeta N Ivanova-Rohling, Guido Burkard, Niklas Rohling
Format: Article
Language:English
Published: IOP Publishing 2021-01-01
Series:New Journal of Physics
Subjects:
quantum state tomography
Grassmannian manifolds
orthoplex-bound-achieving set
mutually unbiased subspaces
NV centers in diamond
numerical optimization
Online Access:https://doi.org/10.1088/1367-2630/ac3c0e

Internet

https://doi.org/10.1088/1367-2630/ac3c0e

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