Entanglement quantification from collective measurements processed by machine learning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F22%3A73616149" target="_blank" >RIV/61989592:15310/22:73616149 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0375960122003528" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0375960122003528</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.physleta.2022.128270" target="_blank" >10.1016/j.physleta.2022.128270</a>
Alternative languages
Result language
angličtina
Original language name
Entanglement quantification from collective measurements processed by machine learning
Original language description
This paper investigates how to reduce the number of measurement configurations needed for sufficiently precise entanglement quantification. Instead of analytical formulae, we employ artificial neural networks to predict the amount of entanglement in a quantum state based on results of collective measurements (simultaneous measurements on multiple instances of the investigated state). We consider collective measurement limited to two copies of the investigated state. This approach allows us to explore the precision of entanglement quantification as a function of measurement configurations in a relevant scenario for practical quantum communications. For the purpose of our research, we consider general two-qubit states and their negativity as entanglement quantifier. We outline the benefits of this approach in future quantum communication networks.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10306 - Optics (including laser optics and quantum optics)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PHYSICS LETTERS A
ISSN
0375-9601
e-ISSN
1873-2429
Volume of the periodical
446
Issue of the periodical within the volume
SEP
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
7
Pages from-to
"128270-1"-"128270-7"
UT code for WoS article
000969033700015
EID of the result in the Scopus database
2-s2.0-85132709351