Suppr超能文献

实验演示了在反向传播的经典参考光辅助下,通过互惠噪声信道稳健分发纠缠。

Experimental demonstration of robust entanglement distribution over reciprocal noisy channels assisted by a counter-propagating classical reference light.

机构信息

Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, 560-8531, Japan.

Photon Science Center, The University of Tokyo, Bunkyo-ku, Tokyo, 113-8656, Japan.

出版信息

Sci Rep. 2017 Jul 6;7(1):4819. doi: 10.1038/s41598-017-05008-6.

Abstract

Embedding a quantum state in a decoherence-free subspace (DFS) formed by multiple photons is one of the promising methods for robust entanglement distribution of photonic states over collective noisy channels. In practice, however, such a scheme suffers from a low efficiency proportional to transmittance of the channel to the power of the number of photons forming the DFS. The use of a counter-propagating coherent pulse can improve the efficiency to scale linearly in the channel transmission, but it achieves only protection against phase noises. Recently, it was theoretically proposed [Phys. Rev. A 87, 052325(2013)] that the protection against bit-flip noises can also be achieved if the channel has a reciprocal property. Here we experimentally demonstrate the proposed scheme to distribute polarization-entangled photon pairs against a general collective noise including the bit flip noise and the phase noise. We observed an efficient sharing rate scaling while keeping a high quality of the distributed entangled state. Furthermore, we show that the method is applicable not only to the entanglement distribution but also to the transmission of arbitrary polarization states of a single photon.

摘要

将量子态嵌入由多个光子形成的无退相干子空间(DFS)是在集体噪声信道上稳健分发光子态纠缠的有前途的方法之一。然而,在实践中,这种方案的效率很低,与形成 DFS 的光子数量的功率成正比,与信道的传输率成反比。使用反向传播相干脉冲可以将效率提高到与信道传输成线性比例,但只能实现对相位噪声的保护。最近,理论上提出[Phys. Rev. A 87, 052325(2013)],如果信道具有互易性,则也可以实现对位翻转噪声的保护。在这里,我们实验演示了该方案,以分发偏振纠缠光子对,以抵抗包括位翻转噪声和相位噪声在内的一般集体噪声。我们观察到有效共享率的提高,同时保持分布式纠缠态的高质量。此外,我们还表明该方法不仅适用于纠缠分发,而且还适用于单个光子的任意偏振态的传输。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2cd/5500561/893c0b3ce59f/41598_2017_5008_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验