Abstract
Inspired by the low energy consumption of the human brain, neuromorphic engineering aims to develop novel hardware to aid the development of machine learning algorithms [1]. Integrated photonics is regarded as a formidable candidate to develop a low-power, ultra-fast optical neural network, due to the high bandwidth, low crosstalk [2] and temporal characteristics governed by fast carrier dynamics. In an all-optical photonic spiking neural network (SNN), a laser neuron is triggered by an optical pulse of sufficient energy generated by previous neurons. From a dynamics perspective this thresholding functionality is an excitable response to an input perturbation and can be realized through integrated two-section lasers [3].
Original language | English |
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Title of host publication | 2023 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2023 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 1 |
Number of pages | 1 |
ISBN (Electronic) | 979-8-3503-4599-5 |
DOIs | |
Publication status | Published - 4 Sept 2023 |
Event | 2023 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2023 - Munich, Germany Duration: 26 Jun 2023 → 30 Jun 2023 |
Conference
Conference | 2023 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2023 |
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Country/Territory | Germany |
City | Munich |
Period | 26/06/23 → 30/06/23 |