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Light-Neuro: En neuromorf protonisk plattform för accelererad beräkning

Reference number
Coordinator Kungliga Tekniska Högskolan - Skolan f teknikvetenskap SCI Inst f tillämpad fysik
Funding from Vinnova SEK 1 999 800
Project duration September 2023 - October 2024
Status Completed
Venture Emerging technology solutions
Call Emerging technology solutions stage 1 2023

Important results from the project

The Light-Neuro project aimed to develop an advanced neuromorphic photonic platform for enhanced computing capabilities. We successfully realized neurons based on LNOI (Lithium Niobate on Insulator), and 8-mode matrix multiplier based on silicon, and developed software that performs matrix multiplication by tuning the heaters. These achievements are critical for building scalable neuromorphic systems. Collaborations with international partners facilitated these advancements, ensuring technological breakthroughs.

Expected long term effects

The Light-Neuro project realized LNOI-based neurons and 6-mode and 8-mode matrix multipliers on silicon, with software for matrix multiplication via heater tuning. These advancements are crucial for scalable neuromorphic systems, showcasing LNOI and silicon’s potential for high-speed computing. The project strengthens Sweden’s leadership in neuromorphic technology and opens opportunities for future innovation and commercialization through international collaboration.

Approach and implementation

** Denna text är maskinöversatt ** The The Light-Neuro project followed a structured approach, focusing on the development of LNOI-based neurons and silicon matrix multipliers. The project combined nanofabrication, software development, and testing phases, collaborating with international partners for expertise and resources. Despite delays due to cleanroom issues, alternative facilities were utilized to keep the timeline on track. This adaptive strategy ensured that key milestones were achieved efficiently.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 31 October 2024

Reference number 2023-01461