Machine classification of quantum correlations for entanglement distribution networks
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2024
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866916125151854592 |
|---|---|
| author | Soubusta, Jan Černoch, Antonín Lemr, Karel |
| author_facet | Soubusta, Jan Černoch, Antonín Lemr, Karel |
| contents | The paper suggest employing machine learning for resource-efficient classification of quantum correlations in entanglement distribution networks. Specifically, artificial neural networks (ANN) are utilized to classify quantum correlations based on collective measurements conducted in the geometry of entanglement swapping. ANNs are trained to categorize two-qubit quantum states into five mutually exclusive classes depending on the strength of quantum correlations exhibited by the states. The precision and recall of the ANN models are analyzed as functions of the quantum resources consumed, i.e. the number of collective measurements performed. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_09212 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Machine classification of quantum correlations for entanglement distribution networks Soubusta, Jan Černoch, Antonín Lemr, Karel Quantum Physics The paper suggest employing machine learning for resource-efficient classification of quantum correlations in entanglement distribution networks. Specifically, artificial neural networks (ANN) are utilized to classify quantum correlations based on collective measurements conducted in the geometry of entanglement swapping. ANNs are trained to categorize two-qubit quantum states into five mutually exclusive classes depending on the strength of quantum correlations exhibited by the states. The precision and recall of the ANN models are analyzed as functions of the quantum resources consumed, i.e. the number of collective measurements performed. |
| title | Machine classification of quantum correlations for entanglement distribution networks |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2402.09212 |