Thomas Steckmann is a theoretical physics graduate student at the University of Maryland, where his work has been supported by a Lanczos Fellowship (2022-2024). His research is at the intersection of quantum algorithms and noisy hardware, focusing on error mitigation, Hamiltonian simulation, and learning state information on NISQ systems. He specializes in developing hardware-aware methods tailored to the unique strengths and limitations of diverse quantum platforms, including neutral atom, trapped ion, and superconducting systems.
Co-advised by Alexey Gorshkov and Michael Gullans, he is an affiliate of the Joint Center for Quantum Information and Computer Science (QuICS) and the Joint Quantum Institute (JQI).
