Ben Miller
I did my undergrad at Cal Poly San Luis Obispo, where I sought out a broad range of coursework in theoretical and applied disciplines and left with a Bachelors of Science degree in both physics and mathematics. I also worked for years teaching these subjects working both for university-run learning centers and as a private tutor. As a professional, I have honed my skills as a scientific python developer, building software tools to enable more rapid scientific research in Machine Learning, Quantum Sensing, and more recently Quantum Circuit Simulation.
I am the lead developer for the the Rydberg Interactive Quantum Module (RydIQule), an open-source tool for research labs to model a broad range of Quantum Sensing experiments. Currently, my interests include quantum sensing and information (including understanding its limitations), software tools for scientific modelling, and science education.
Sessions
Rydberg atoms offer unique quantum properties that enable radio-frequency sensing capabilities distinct from any classical analogue; however, large parameter spaces and complex configurations make understanding and designing these quantum experiments challenging. Current solutions are often developed as in-house, closed-sourced software simulating a narrow range of problems. We present RydIQule, an open-source package leveraging tools of computational python in novel ways to model the behavior of these systems generally. We describe RydIQule’s approach to representing quantum systems using computational graphs and leveraging numpy broadcasting to define complete experiments. In addition to discussing the computational challenges RydIQule helps overcome, we outline how collaboration between physics and computational research backgrounds has led to this impactful tool.