I contributed to the development of software infrastructure supporting quantum computing research by creating W4Benchmark, a REST API that provides public access to tensor data used to calculate ground-state energies in quantum many-body problems. Researchers can use these datasets to benchmark their methods against selected configuration interaction reference calculations and compare the tradeoff between computational cost and accuracy. In addition to developing the API and website, I created the W4Benchmark Python package, which automatically downloads and parses dataset entries and provides molecular geometries and iterative tooling that allow users to easily loop over the entire benchmark suite with only a few lines of code. Together, these tools improve the accessibility, reproducibility, and standardization of benchmarking quantum simulation methods.
Working with Prof. Faulstich, Prof. Raisuddin, and Kangbo Li has been one of the most impactful experiences of my time at RPI. As a Mathematics and Computer Science major, full-stack development was never part of my coursework, yet with their guidance I learned everything from first principles and helped turn the project into a deployed research resource. One of the most exciting aspects of RPI has been access to world-class facilities all on one campus, including enterprise-grade servers, the AiMOS supercomputer, and even an in-house quantum computer. These opportunities have shown me that research extends far beyond the classroom and have introduced me to areas I never expected to explore.
For students interested in quantum computing, I would emphasize that RPI offers the opportunity to become involved in meaningful research early and to work closely with faculty mentors. My experiences have inspired me to continue pursuing high-performance computing and computational research through future internships, research scientist positions, and graduate study. I hope to earn a master's degree in Mathematics followed by a Ph.D. in Computer Science, continuing to develop the computational methods and software that enable the next generation of scientific discovery.
