Research interest: Quantum computing algorithms, Condensed matter physics
My current research involves developing novel algorithms for quantum computers to solve scientific problems and beyond. Due to the highly noisy and expensive nature of quantum devices, it is crucial to have a deep understanding of their hardware architecture to develop NISQ (noisy intermediate-scale quantum) algorithms. Thus, I am keen on collaborating with interdisciplinary teams to improve my knowledge of the device and develop algorithms that are resource-efficient. I am also interested in exploring other aspects of advanced numerical methods. I completed my Ph.D. in computational condensed matter physics at the University of Arizona, where I developed codes for the Path Integral Renormalization Group (PIRG) method to study superconductivity in two-dimensional materials.
- Ph.D., Physics, University of Arizona
Find me on Google Scholar for a complete list of publications.
- Computing the many-body Green's function with adaptive variational quantum dynamics, Niladri Gomes, David B Williams-Young, Wibe A de Jong, Journal of Chemical Theory and Computation, 2023.
- Adaptive variational quantum minimally entangled typical thermal states for finite temperature simulations, João C Getelina, Niladri Gomes, Thomas Iadecola, Peter P Orth, Yong-Xin Yao, SciPost Phys., 2023.