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Unipolar quantum optoelectronics for high speed direct modulation and transmission in 8–14 µm atmospheric window
Université Paris Cité, France.
KTH Royal Institute of Technology, Sweden.
mirSense, France.
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2024 (English)In: Nature Communications, E-ISSN 2041-1723, Vol. 15, no 1, article id 8040Article in journal (Refereed) Published
Abstract [en]

The large mid-infrared (MIR) spectral region, ranging from 2.5 µm to 25 µm, has remained under-exploited in the electromagnetic spectrum, primarily due to the absence of viable transceiver technologies. Notably, the 8–14 µm long-wave infrared (LWIR) atmospheric transmission window is particularly suitable for free-space optical (FSO) communication, owing to its combination of low atmospheric propagation loss and relatively high resilience to turbulence and other atmospheric disturbances. Here, we demonstrate a direct modulation and direct detection LWIR FSO communication system at 9.1 µm wavelength based on unipolar quantum optoelectronic devices with a unprecedented net bitrate exceeding 55 Gbit s−1. A directly modulated distributed feedback quantum cascade laser (DFB-QCL) with high modulation efficiency and improved RF-design was used as a transmitter while two high speed detectors utilizing meta-materials to enhance their responsivity are employed as receivers; a quantum cascade detector (QCD) and a quantum-well infrared photodetector (QWIP). We investigate system tradeoffs and constraints, and indicate pathways forward for this technology beyond 100 Gbit s−1 communication. 

Place, publisher, year, edition, pages
Nature Research , 2024. Vol. 15, no 1, article id 8040
Keywords [en]
microRNA; article; diagnosis; laser; velocity
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:ri:diva-75657DOI: 10.1038/s41467-024-52053-7Scopus ID: 2-s2.0-85203975941OAI: oai:DiVA.org:ri-75657DiVA, id: diva2:1909793
Note

This work was supported in part by the EU H2020 cFLOW Project (828893), in part by the Swedish Research Council (VR) project 2019-05197 and project ‘BRAIN’ 2022-04798, in part by the COST Action CA19111 NEWFOCUS, VINNOVA-funded project ‘A-FRONTHAUL’ 2023-00659, and in part by the LZP FLPP project ‘MIR-FAST’ (lzp-2023/1-0503). The authors from ENS acknowledge the financial support of the ENS-Thales Chair, Direction Générale de l’Armement (DGA), PEPRElectronique, ANR project LIGNEDEMIR (ANR- 18CE09-0035), FETOpen projects cFLOW (Grant No. 828893) and CNRS Renatechnetwork.

Available from: 2024-11-01 Created: 2024-11-01 Last updated: 2025-09-23Bibliographically approved

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Ozolins, OskarsPang, Xiaodan

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