Issue |
EPL
Volume 140, Number 1, October 2022
|
|
---|---|---|
Article Number | 18003 | |
Number of page(s) | 7 | |
Section | Quantum information | |
DOI | https://doi.org/10.1209/0295-5075/ac9157 | |
Published online | 28 September 2022 |
Quantum scissors for noiseless linear amplification of polarization frequency hyper-encoded coherent state
1 College of Science, Nanjing University of Posts and Telecommunications - Nanjing, 210023, China
2 Institute of Quantum Information and Technology, Nanjing University of Posts and Telecommunications Nanjing, 210003, China
3 College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications - Nanjing, 210023, China
(a) E-mail: zhoul@njupt.edu.cn (corresponding author)
Received: 3 August 2022
Accepted: 12 September 2022
Quantum scissor (QS) is a powerful tool to realize the optical truncation and noiseless linear amplification (NLA) of the Fock state. The hyper-encoding technology which encodes messages in two or more degrees of freedom of a photon is a promising tool for increasing the channel capacity of photons and has been widely used in quantum computing and quantum communication fields. Here, we propose the one-photon and three-photon QSs for the frequency-encoded and polarization frequency hyper-encoded coherent states, which can realize the one-order and three-order truncation and NLA of the coherent state, and preserve the encoded features of the photons. The quantum scissors for the hyper-encoded coherent state would introduce some unwanted disturb items with small probability. Our QSs can be extended to distill the hyper-encoded multi-spatial-mode entanglement. Our QSs have application potential in the future quantum information processing field.
© 2022 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.