Designed Semiconductor Network Random Lasers

Abstract Conventional lasers typically support a well‐defined comb of modes. Coupling many resonators together to form larger complex cavities enables the design of the spatial and spectral distribution of modes, for sensitive and controllable on‐chip light sources. Network lasers, formed from a mesh of dye‐doped polymer interconnecting waveguides, have shown great potential for random lasing with a highly sensitive and customizable lasing spectrum albeit suffering from gain bleaching. Here on‐chip semiconductor network lasers are introduced, and fabricated by etching an InP epilayer bonded onto a wafer, as a reproducible, stable and designable random laser with a rich multimodal spectrum and low room temperature lasing threshold. Thresholds are observed as low as 60 for InP networks with an optimum link width of 450 nm and thickness of 120 nm. It is further shown, both experimentally and numerically, that the network density directly affects the mode spatial distribution, and lasing modes are spatially localized over only 10–20 connected links in large dense networks. The InP network lasers are also stable to pump illumination and sensitive to small variations in the pump pattern. These studies lay the ground for the future design of random lasers tailored to the application in robust semiconductor platforms with impact for sensing, signal processing, cryptography and machine learning.

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Publication Details

Journal
Laser & Photonics Review
Published
2024-08-16
DOI
https://doi.org/10.1002/lpor.202400623
Citations
3
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
1.04

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article

Designed Semiconductor Network Random Lasers

Alexis Arnaudon, Ortwin Hess, Wai Kit Ng, T. V. Raziman et al.
3 citations
Laser & Photonics Review
Neural Networks and Reservoir Computing
1.04
article

Designed Semiconductor Network Random Lasers

Alexis Arnaudon, Ortwin Hess, Wai Kit Ng, T. V. Raziman, Mauricio Barahona, Heinz Schmid, Kirsten E. Moselund, Jakub Dranczewski, Noelia Vico Triviño, Dhruv Saxena, Riccardo Sapienza, Anna Fischer
article en
3 citations

Abstract

Abstract Conventional lasers typically support a well‐defined comb of modes. Coupling many resonators together to form larger complex cavities enables the design of the spatial and spectral distribution of modes, for sensitive and controllable on‐chip light sources. Network lasers, formed from a mesh of dye‐doped polymer interconnecting waveguides, have shown great potential for random lasing with a highly sensitive and customizable lasing spectrum albeit suffering from gain bleaching. Here on‐chip semiconductor network lasers are introduced, and fabricated by etching an InP epilayer bonded onto a wafer, as a reproducible, stable and designable random laser with a rich multimodal spectrum and low room temperature lasing threshold. Thresholds are observed as low as 60 for InP networks with an optimum link width of 450 nm and thickness of 120 nm. It is further shown, both experimentally and numerically, that the network density directly affects the mode spatial distribution, and lasing modes are spatially localized over only 10–20 connected links in large dense networks. The InP network lasers are also stable to pump illumination and sensitive to small variations in the pump pattern. These studies lay the ground for the future design of random lasers tailored to the application in robust semiconductor platforms with impact for sensing, signal processing, cryptography and machine learning.

Laser & Photonics ReviewVol. 19(1)
Trinity College Dublin (IE), Paul Scherrer Institute (CH), IBM Research - Zurich (CH), Imperial College London (GB), École Polytechnique Fédérale de Lausanne (CH)
Imperial College London, European Commission, Science Foundation Ireland, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 19%
Neural Networks and Reservoir Computing
1.04
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