Reservoir Computing Based on Semiconductor Lasers Using Parallel Double Optical Feedback Structure

Wang, Shuai; Hua, Fei; Fang, Nian; Wang, Lutang

doi:10.1364/acpc.2020.m4a.315

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…The surge in power consumption, attributed to the escalating volume of information stored and accessed through the World Wide Web for various purposes, coupled with the imperative of locating data centers in cold climates, 29,30 stands to find respite in the low power and thermal footprint of nanolasers. The application of nanolasers in all-optical mathematics 31 and neuromorphic-based data analysis, [32][33][34] prediction, and handling [35][36][37][38][39] holds the potential for substantial reductions in power usage and thermal impact.…”

Section: Introductionmentioning

confidence: 99%

Nanolaser potential in communications and data handling

Puccioni,

Wang,

Lippi

2024

Semiconductor Lasers and Laser Dynamics XI

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The pivotal role played by semiconductor lasers in telecommunications and data storage applications requires dealing with time lag and relaxation oscillations, which limit bandwidth and reliability. As an alternative to the mitigation measures traditionally employed, we analyze the potential of size downscaling and investigate the intrinsic physical features of lasers down to the nanoscale. An analysis of the dynamical properties as a function of scale, with standard models, highlights the intrinsic potential of nanolasers as advantageous sources of light for information. Noise response and characteristic times strongly confirm that considerable gain can be obtained from small devices, thus encouraging efforts directed at solving technological hurdles.

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