Data-driven criteria for quantum correlations
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Data-driven criteria for quantum correlations
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Data-driven criteria for quantum correlations
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10306 - Optics (including laser optics and quantum optics)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Physical Review A
ISSN
2469-9926
e-ISSN
2469-9934
Svazek periodika
109
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
12
Strana od-do
022405
Kód UT WoS článku
001172318700009
EID výsledku v databázi Scopus
2-s2.0-85184152617