Data-driven criteria for quantum correlations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F24%3A00588531" target="_blank" >RIV/68378271:_____/24:00588531 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1103/PhysRevA.109.022405" target="_blank" >https://doi.org/10.1103/PhysRevA.109.022405</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1103/PhysRevA.109.022405" target="_blank" >10.1103/PhysRevA.109.022405</a>
Alternative languages
Result language
angličtina
Original language name
Data-driven criteria for quantum correlations
Original language description
We build a machine learning model to detect correlations in a three-qubit system using a neural network trained in an unsupervised manner on randomly generated states. The network is forced to recognize separable states, and correlated states are detected as anomalies. Quite surprisingly, we find that the proposed detector performs much better at distinguishing a weaker form of quantum correlations, namely, the quantum discord, than entanglement. We construct a diagram containing various types of states—entangled, as well as separable, both discordant and nondiscordant. We find that the near-zero value of the recognition loss reproduces the shape of the nondiscordant separable states with high accuracy. The network architecture is designed carefully: it preserves separability, and its output is equivariant with respect to qubit permutations. We show that the choice of architecture is important to get the highest detection accuracy.
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
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
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 A
ISSN
2469-9926
e-ISSN
2469-9934
Volume of the periodical
109
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
022405
UT code for WoS article
001172318700009
EID of the result in the Scopus database
2-s2.0-85184152617