In this Letter, the first implementation, to our knowledge, of X-junctions between photorefractive soliton waveguides in lithium niobate-on-insulator (LNOI) films is reported. The experiments were performed on 8 μm thick films of congru- ent undoped LiNbO3. Compared with bulk crystals, the use of films reduces the soliton formation time, allows more con- trol over the interaction between the injected soliton beams, and opens a route to integration with silicon optoelectronics functions. The created X-junction structures show effective supervised learning, directing the signals propagated inside the soliton waveguides into the output channels highlighted by the control assigned by the external supervisor. Thus, the obtained X-junctions have behaviors analogous to biological neurons.
Supervised learning of soliton X-junctions in lithium niobate films on insulator / Bile, Alessandro; Chauvet, Mathieu; Tari, Hamed; Fazio, Eugenio. - In: OPTICS LETTERS. - ISSN 1539-4794. - (2022).
Supervised learning of soliton X-junctions in lithium niobate films on insulator
Alessandro BilePrimo
Investigation
;Eugenio Fazio
Ultimo
Project Administration
2022
Abstract
In this Letter, the first implementation, to our knowledge, of X-junctions between photorefractive soliton waveguides in lithium niobate-on-insulator (LNOI) films is reported. The experiments were performed on 8 μm thick films of congru- ent undoped LiNbO3. Compared with bulk crystals, the use of films reduces the soliton formation time, allows more con- trol over the interaction between the injected soliton beams, and opens a route to integration with silicon optoelectronics functions. The created X-junction structures show effective supervised learning, directing the signals propagated inside the soliton waveguides into the output channels highlighted by the control assigned by the external supervisor. Thus, the obtained X-junctions have behaviors analogous to biological neurons.File | Dimensione | Formato | |
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