2011
DOI: 10.1587/elex.8.684
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Spatial mode multiplexer/demultiplexer based on tapered hollow waveguide

Abstract: A spatial-mode multiplexer/demultiplexer using a Bragg reflector tapered hollow waveguide is proposed. Depending on each spatial mode, vertical radiation takes place at a cut-off condition while the radiation position is dependent on the order of each spatial mode. Modeling of our structure is carried out by using a mode-matching method. The result shows low wavelength dependence and no noticeable polarization dependence while a low insertion loss is expected. Also a tapered hollow waveguide consisting of high… Show more

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Cited by 17 publications
(11 citation statements)
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“…In our previous study, a similar tapered structure was used for wavelength demultiplexers as well as for mode demultiplexers. 13,14) We found a unique behavior in a narrow tapered core hollow waveguide shown in Fig. 2.…”
mentioning
confidence: 76%
See 1 more Smart Citation
“…In our previous study, a similar tapered structure was used for wavelength demultiplexers as well as for mode demultiplexers. 13,14) We found a unique behavior in a narrow tapered core hollow waveguide shown in Fig. 2.…”
mentioning
confidence: 76%
“…Eventually, the taper shape of the hollow waveguide can be realized. 12,13) In conclusion, we proposed a highly efficient in-plane to vertical optical coupler based on a tapered hollow waveguide. Our results show no-noticeable polarization dependence and low wavelength dependence in the entire C-band (1530-1565 nm).…”
mentioning
confidence: 94%
“…Such a band gap is pivotal, influencing both emission and absorption characteristics critical to optoelectronic device performance. [44][45][46][47][48][49][50][51][52][53] Integrating ITO with a plasmonic structure on an asymmetric MZI yields significant advantages. This innovative engineering approach results in a device footprint of less than 10 micrometers and a confinement factor of approximately 20, while theoretically achieving speeds of up to 100 GHz.…”
Section: Introductionmentioning
confidence: 99%
“…Binarization simplifies the computational complexity of neural networks, making them more amenable to optical processing by reducing the necessity for high-precision arithmetic operations. [49][50][51][52][53] By tailoring optical gates to this simplified computational model, our work aims to create a synergistic hardware-algorithm framework that leverages the strengths of optical computing for AI applications. This innovative direction not only has the potential to mitigate the interfacing challenges between optical components and electronic systems but also opens up new avenues for the application of optical computing in areas where its benefits can be fully realized.…”
Section: Introductionmentioning
confidence: 99%