Periodic Reporting for period 1 - RaPPIC (Rapid Programmable Photonic Integrated Circuits)
Période du rapport: 2023-07-01 au 2024-12-31
Second activity involved directly utilizing foundry-manufactured chip to train machine-learning algorithm for computer vision application. As part of this, custom software and electronics were developed. This includes custom electronic driving circuit for more than 40 modulators with a custom printed circuit board. A python-based software code was developed to interface digital controller (Raspberry Pi) and implement computation on the photonic chip.
The main outcomes of the action are twofold. First, the potential of transition metal dichalcogenide for integrated photonic application was demonstrated. Second, various tools, including nanofabrication techniques, electronics, optical setups and software, were developed to assemble and test the photonic integrated circuits.