电信波长下 1650 个单光子模式的量子存储

IF 6.6 1区 物理与天体物理 Q1 PHYSICS, APPLIED
Shi-Hai Wei, Bo Jing, Xue-Ying Zhang, Jin-Yu Liao, Hao Li, Li-Xing You, Zhen Wang, You Wang, Guang-Wei Deng, Hai-Zhi Song, Daniel Oblak, Guang-Can Guo, Qiang Zhou
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引用次数: 0

摘要

要充分发挥量子网络的潜力,就必须能够以可观的速率远距离分配量子资源。因此,此类网络中的所有组件都需要具备操纵光子量子态的巨大多模容量。为此,具有大多模容量的光子量子存储器,尤其是在电信波长下运行的光子量子存储器,仍然是一个重要的挑战。在这里,我们优化了原子频率梳的制备,并在 10 米长的低温冷却掺铒硅光纤中演示了光谱时域复用量子存储器。我们的多路复用存储器有五个光谱通道--每个通道宽 10 千兆赫,间隔 5 千兆赫--每个通道有多达 330 个时间模式,因此可以同时存储 1,650 个预示单光子模式,与单模存储器相比,重合检测率提高了 1000 倍。我们的成果可以为与光纤通信基础设施兼容的高速量子网络铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Quantum storage of 1650 modes of single photons at telecom wavelength

Quantum storage of 1650 modes of single photons at telecom wavelength

To advance the full potential of quantum networks one should be able to distribute quantum resources over long distances at appreciable rates. As a consequence, all components in such networks need to have large multimode capacity to manipulate photonic quantum states. Towards this end, a photonic quantum memory with a large multimode capacity, especially one operating at telecom wavelength, remains an important challenge. Here we optimize the preparation of atomic frequency combs and demonstrate a spectro-temporally multiplexed quantum memory in a 10-m-long cryogenically cooled erbium doped silica fibre. Our multiplexing storage has five spectral channels - each 10 GHz wide with 5 GHz separation - with up to 330 temporal modes in each, thus resulting in a simultaneous storage of 1,650 modes of heralded single photons with a 1000-fold increasing in coincidence detection rate with respect to single mode storage. Our results could pave the way for high speed quantum networks compatible with the infrastructure of fibre optical communication.

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来源期刊
npj Quantum Information
npj Quantum Information Computer Science-Computer Science (miscellaneous)
CiteScore
13.70
自引率
3.90%
发文量
130
审稿时长
29 weeks
期刊介绍: The scope of npj Quantum Information spans across all relevant disciplines, fields, approaches and levels and so considers outstanding work ranging from fundamental research to applications and technologies.
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