Characterization and Automation of Quantum Electronics for a Qubit-based Dark Matter Detector

by Michael Zaidel
Dark matter vastly exceeds normal matter in the universe, and its composition is unknown. Contemporary cosmological theories suggest the existence of hypothetical particles called axions which are potential dark matter candidates. In this work, a Python-based operational framework for managing and characterizing quantum electronics for detecting axion dark matter was created. Development was centered around a user-friendly data acquisition and equipment management tool for a remotely operated dark matter detector.
Physics, Astronomy & Astrophysics
Exhibition Category: 
Physical Sciences
Exhibition Format: 
Poster Presentation
University Park
Faculty Sponsor: 
Rakshya Khatiwada
Poster Number: