Issue |
EPL
Volume 135, Number 4, August 2021
|
|
---|---|---|
Article Number | 40001 | |
Number of page(s) | 7 | |
Section | General | |
DOI | https://doi.org/10.1209/0295-5075/ac18f9 | |
Published online | 18 October 2021 |
Faithful entanglement distribution using quantum multiplexing in noisy channel
1 College of Electronic and Optical Engineering & college of Microeletronics, Nanjing University of Posts and Telecommunications - Nanjing, 210003, China
2 School of Science, Nanjing University of Posts and Telecommunications - Nanjing, 210003, China
3 Institute of Quantum Information and Technology, Nanjing University of Posts and Telecommunications Nanjing, 210003, China
(a) shengyb@njupt.edu.cn (corresponding author)
Received: 6 May 2021
Accepted: 29 July 2021
Quantum multiplexing provides us with a powerful approach that can distribute entanglement using only a single photonic pulse to interact with remote quantum memories. In common entanglement distribution protocols, the entanglement purification is often exploited if the distributed entanglement is degraded by the channel noise. In this protocol, we propose a faithful entanglement distribution protocol using quantum multiplexing of photon in a collective noise channel. By designing the encoding and decoding setup, our protocol can resist the collective noise. When the protocol is successful, the parties can obtain two pairs of maximally entangled states. When the protocol fails, the parties can still obtain one pair of maximally entangled state. Our protocol does not require the entanglement purification, so that it is more efficient. The above advantages enable our protocol to have important application potential in the future quantum communication field.
© 2021 EPLA
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.