Accuracy of Entanglement Detection via Artificial Neural Networks and Human-Designed Entanglement Witnesses
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F21%3A73607382" target="_blank" >RIV/61989592:15310/21:73607382 - isvavai.cz</a>
Result on the web
<a href="https://journals.aps.org/prapplied/pdf/10.1103/PhysRevApplied.15.054006" target="_blank" >https://journals.aps.org/prapplied/pdf/10.1103/PhysRevApplied.15.054006</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1103/PhysRevApplied.15.054006" target="_blank" >10.1103/PhysRevApplied.15.054006</a>
Alternative languages
Result language
angličtina
Original language name
Accuracy of Entanglement Detection via Artificial Neural Networks and Human-Designed Entanglement Witnesses
Original language description
The detection of entangled states is essential in both fundamental and applied quantum physics. However, this task proves to be challenging, especially for general quantum states. One can execute full state tomography but this method is time demanding, especially in complex systems. Other approaches use entanglement witnesses: these methods tend to be less demanding but lack reliability. Here, we demonstrate that artificial neural networks (ANNs) provide a balance between the two approaches. In this paper, we make a comparison of ANN performance with witness-based methods for random general two-qubit quantum states without any prior information on the states. Furthermore, we apply our approach to a real experimental data set.
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
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Physical Review Applied
ISSN
2331-7019
e-ISSN
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Volume of the periodical
15
Issue of the periodical within the volume
5
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
"054006-1"-"054006-8"
UT code for WoS article
000656834900001
EID of the result in the Scopus database
2-s2.0-85106273560