Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Bugalho. L., Coutinho, B. B, Monteiro, F. A. & Omar, Y. (2022). Distributing Multipartite Entanglement over Noisy Quantum Networks. NetSci-X: International School and Conference on Network Science.
Exportar Referência (IEEE) 
L. Bugalho et al.,  "Distributing Multipartite Entanglement over Noisy Quantum Networks", in NetSci-X: Int. School and Conf. on Network Science, Porto, 2022
Exportar BibTeX 
@misc{bugalho2022_1776237919699,
	author = "Bugalho. L. and Coutinho, B. B and Monteiro, F. A. and Omar, Y.",
	title = "Distributing Multipartite Entanglement over Noisy Quantum Networks",
	year = "2022",
	howpublished = "Digital",
	url = "https://netscix.dcc.fc.up.pt"
}
Exportar RIS 
TY  - CPAPER
TI  - Distributing Multipartite Entanglement over Noisy Quantum Networks
T2  - NetSci-X: International School and Conference on Network Science
AU  - Bugalho. L.
AU  - Coutinho, B. B
AU  - Monteiro, F. A.
AU  - Omar, Y.
PY  - 2022
CY  - Porto
UR  - https://netscix.dcc.fc.up.pt
AB  - A quantum internet aims at harnessing networked quantum technologies, namely by distributing bipartite entanglement between distant nodes. However, multipartite entanglement between the nodes may empower the quantum internet for additional or better applications for communications, sensing, and computation. In this work, we present an algorithm for generating multipartite entanglement between different nodes of a quantum network with noisy quantum repeaters and imperfect quantum memories, where the links are entangled pairs. Our algorithm is optimal for GHZ states with 3 qubits, maximising simultaneously the final state fidelity and the rate of entanglement distribution. Furthermore, we determine the conditions yielding this simultaneous optimality for GHZ states with a higher number of qubits, and for other types of multipartite entanglement. Our algorithm is general also in the sense that it can optimise simultaneously arbitrary parameters. This work opens the way to optimally generate multipartite quantum correlations over noisy quantum networks, an important resource for distributed quantum technologies.
ER  -