When quantum state tomography benefits from willful ignorance
We show that quantum state tomography with perfect knowledge of the measurement apparatus proves to be, in some instances, inferior to strategies discarding all information about the measurement at hand, as in the case of data pattern tomography. In those scenarios, the larger uncertainty about the...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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IOP Publishing
2021-01-01
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Series: | New Journal of Physics |
Subjects: | |
Online Access: | https://doi.org/10.1088/1367-2630/ac0fff |
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author | Libor Motka Martin Paúr Jaroslav Řeháček Zdeněk Hradil Luis L Sánchez-Soto |
author_facet | Libor Motka Martin Paúr Jaroslav Řeháček Zdeněk Hradil Luis L Sánchez-Soto |
author_sort | Libor Motka |
collection | DOAJ |
description | We show that quantum state tomography with perfect knowledge of the measurement apparatus proves to be, in some instances, inferior to strategies discarding all information about the measurement at hand, as in the case of data pattern tomography. In those scenarios, the larger uncertainty about the measurement is traded for the smaller uncertainty about the reconstructed signal. This effect is more pronounced for minimal or nearly minimal informationally complete measurement settings, which are of utmost practical importance. |
first_indexed | 2024-03-12T16:28:18Z |
format | Article |
id | doaj.art-48dca98959c144e28ee7de0150c6caf8 |
institution | Directory Open Access Journal |
issn | 1367-2630 |
language | English |
last_indexed | 2024-03-12T16:28:18Z |
publishDate | 2021-01-01 |
publisher | IOP Publishing |
record_format | Article |
series | New Journal of Physics |
spelling | doaj.art-48dca98959c144e28ee7de0150c6caf82023-08-08T15:35:54ZengIOP PublishingNew Journal of Physics1367-26302021-01-0123707303310.1088/1367-2630/ac0fffWhen quantum state tomography benefits from willful ignoranceLibor Motka0Martin Paúr1https://orcid.org/0000-0002-6675-2294Jaroslav Řeháček2https://orcid.org/0000-0002-4969-2760Zdeněk Hradil3https://orcid.org/0000-0001-8732-4638Luis L Sánchez-Soto4https://orcid.org/0000-0002-7441-8632Department of Optics, Palacky University , 17. listopadu 12, 77146 Olomouc, Czech RepublicDepartment of Optics, Palacky University , 17. listopadu 12, 77146 Olomouc, Czech RepublicDepartment of Optics, Palacky University , 17. listopadu 12, 77146 Olomouc, Czech RepublicDepartment of Optics, Palacky University , 17. listopadu 12, 77146 Olomouc, Czech RepublicDepartamento de Óptica, Facultad de Física, Universidad Complutense , 28040 Madrid, Spain; Max-Planck-Institut für die Physik des Lichts , 91058 Erlangen, GermanyWe show that quantum state tomography with perfect knowledge of the measurement apparatus proves to be, in some instances, inferior to strategies discarding all information about the measurement at hand, as in the case of data pattern tomography. In those scenarios, the larger uncertainty about the measurement is traded for the smaller uncertainty about the reconstructed signal. This effect is more pronounced for minimal or nearly minimal informationally complete measurement settings, which are of utmost practical importance.https://doi.org/10.1088/1367-2630/ac0fffquantum state tomographyquantum detector tomographydata patterns |
spellingShingle | Libor Motka Martin Paúr Jaroslav Řeháček Zdeněk Hradil Luis L Sánchez-Soto When quantum state tomography benefits from willful ignorance New Journal of Physics quantum state tomography quantum detector tomography data patterns |
title | When quantum state tomography benefits from willful ignorance |
title_full | When quantum state tomography benefits from willful ignorance |
title_fullStr | When quantum state tomography benefits from willful ignorance |
title_full_unstemmed | When quantum state tomography benefits from willful ignorance |
title_short | When quantum state tomography benefits from willful ignorance |
title_sort | when quantum state tomography benefits from willful ignorance |
topic | quantum state tomography quantum detector tomography data patterns |
url | https://doi.org/10.1088/1367-2630/ac0fff |
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