Our first QuanTech project
Mattia, Lenni, Matthias and Debang successfully designed an automated beam alignment using Machine Learning
In our lab, the number of optical paths is substantial, making their precise alignment crucial for the reliable and continuous operation of our experiments. To address the challenge of minimizing manual adjustments and combating beam position drifts, we proposed an open project to the Master’s students in Quantum Engineering. A team of four students took on the challenge and, over the Fall Semester, designed, programmed, and tested their innovative solution: ServoSight.
ServoSight combines mechanical engineering, software and hardware programming, and optics to deliver a versatile and practical solution. Key features include its cost-effectiveness (making it scalable), high beam positioning accuracy, compact cage system, and user-friendly design for lab integration. This January, the team presented their work at ETH's QuanTech Workshop annual symposium, where it received positive feedback from researchers across various disciplines.
We plan to make the code and project publicly available soon. Congratulations to the team on an excellent job!
