Automation of the Transition Identification Procedure for Trapping Rubidium Atoms in a Magneto-Optical Trap
College - Author 1
College of Science and Mathematics
Department - Author 1
Degree Name - Author 1
BS in Physics
Katharina Gillen, College of Science and Mathematics, Physics Department
The words “quantum computer” often conjure images of science fiction and unrealistic technology from an impossible future. Some may even believe that they aren’t real or are only theoretical. The truth is that quantum computers are real, tangible systems with real life uses and rooted in credible scientific research. Today, many groups of scientists collaborate on research into better ways of implementing and improving quantum computing techniques. This paper will be addressing the systems required and phenomena used to achieve neutral atom trapping for quantum computation. This thesis will outline the physical phenomena involved with the frequency tuning process for the laser diodes used to cool neutral atoms, and the systems used to engage these phenomena. The result of the work shown in this thesis is a Python based program for detecting signal peaks in the Doppler-broadened absorption spectrum of Rubidium vapor. This program allows users to detect energy level transitions in 85Rb and 87Rb based on the detected peaks within the absorption signal.