After taking Computing and Quantum Computing, I joined a research project with Prof. Magdon-Ismail, Prof. Milanova, and a team of students focused on developing a better compiler to enable people to benefit from quantum computing without needing to know how to construct efficient quantum circuits. In an offshoot research project, my team used machine learning to predict the error rate of a quantum circuit without knowing its transpiled layout - a useful model for compiler decisions and backend selection. During the RPI Quantum Hackathon this past spring, I used the quantum computer to benchmark adder circuits and reveal an improved quantum circuit for modern hardware. Across these projects, I've run over 800,000 circuits on RPI's System One, an opportunity I'm very thankful for, made possible by having the quantum computer on campus.
