Support System Used in Neutral Atom MOT for Quantum Computing Research

Quantum computing leverages the principles of quantum mechanics to revolutionize the field of computing, promising unprecedented computational power. However, current quantum systems face significant challenges, particularly in maintaining stable qubits and achieving scalability. 

This senior design project focuses on improving the quantum optics subsystem of the Open-Quantum project, an initiative led by Professor Bell at the University of Massachusetts Boston. The primary challenge identified by the student research group is the instability in tuning the system’s laser to achieve the precise wavelength of 780.241 nm. 

Currently, manual adjustments of temperature, piezoelectric, and current control subsystems result in inefficient lab sessions and suboptimal performance. Our project aims to automate the tuning process, enhance stability, and optimize system performance using machine learning and implementing PID loops; the broader goal of making the setup adaptable to other quantum research environments.

We are working on create an app that will work in tandem with a custom central monitoring unit to streamline the laser tuning process in an optical lab setting. The app will be hosted on a computer and will take user input on a desired wavelength to tune the laser. A tempurature and voltage sweep will be automated through a machine learning algorithm to determine control the laser diode and tuning it to the desired wavelength.