Continuous weight tuning for WDM-based neuron addition in an SOA-based InP cross-connect

Research output: Contribution to conferencePaperAcademic

Abstract

In this work, we realize the weighted addition of neuron on a monolithically integrated 8x8 cross-connect chip, based on semiconductor optical amplifier (SOA) and arrayed waveguide grating (AWG) technology, with four10Gb/s on-off key WDM input channels. We analyze the weight tuning range of each channel. The results show that a weight reading error below 0.08 can be achieved with a maximum weight tuning range of 20dB. It opens the way towards a high fidelity cross-connectivity of up to 8 neurons for input layer to next hidden-layer with a data precision of at least 3bits for photonic integrated deep neural networks.
Original languageEnglish
Publication statusPublished - 2018
Event23rd Annual Symposium of the IEEE Photonics Society Benelux Chapter - Paleis der Academiën, Brussels, Belgium
Duration: 15 Nov 201816 Nov 2018

Conference

Conference23rd Annual Symposium of the IEEE Photonics Society Benelux Chapter
CountryBelgium
CityBrussels
Period15/11/1816/11/18

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  • Cite this

    Shi, B., Calabretta, N., & Stabile, R. (2018). Continuous weight tuning for WDM-based neuron addition in an SOA-based InP cross-connect. Paper presented at 23rd Annual Symposium of the IEEE Photonics Society Benelux Chapter, Brussels, Belgium.