1. High-fidelity spatial mode transmission through a 1-km-long multimode fiber via vectorial time reversal
- Author
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Alexander Fyffe, Runzhou Zhang, Jiapeng Zhao, Alan E. Willner, Yiyu Zhou, Zhimin Shi, Boris Braverman, and Robert W. Boyd
- Subjects
Fibre optics and optical communications ,Quantum information ,Science ,Phase (waves) ,FOS: Physical sciences ,General Physics and Astronomy ,Applied Physics (physics.app-ph) ,01 natural sciences ,Article ,General Biochemistry, Genetics and Molecular Biology ,Polarization mixing ,010309 optics ,Optical physics ,Optics ,0103 physical sciences ,Optical techniques ,010306 general physics ,Quantum information science ,Computer Science::Cryptography and Security ,Physics ,Wavefront ,Quantum Physics ,Multidisciplinary ,Multi-mode optical fiber ,business.industry ,Physics - Applied Physics ,General Chemistry ,Transmission (telecommunications) ,Orders of magnitude (time) ,Signal beam ,Quantum Physics (quant-ph) ,business ,Physics - Optics ,Optics (physics.optics) - Abstract
The large number of spatial modes supported by standard multimode fibers is a promising platform for boosting the channel capacity of quantum and classical communications by orders of magnitude. However, the practical use of long multimode fibers is severely hampered by modal crosstalk and polarization mixing. To overcome these challenges, we develop and experimentally demonstrate a vectorial time reversal technique, which is accomplished by digitally pre-shaping the wavefront and polarization of the forward-propagating signal beam to be the phase conjugate of an auxiliary, backward-propagating probe beam. Here, we report an average modal fidelity above 80% for 210 Laguerre-Gauss and Hermite-Gauss modes by using vectorial time reversal over an unstabilized 1-km-long fiber. We also propose a practical and scalable spatial-mode-multiplexed quantum communication protocol over long multimode fibers to illustrate potential applications that can be enabled by our technique., Comment: Supplementary Information is included
- Published
- 2021
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