Rhine Samajdar

Rhine Samajdar is a Researcher at Princeton University, currently serving as a Postdoctoral Research Associate. Their work focuses on quantum many-body systems, quantum simulation, and topological phases of matter. Key research interests include Rydberg atom arrays, quantum spin liquids, and the interplay between topology and quantum dynamics.

Research interests encompass quantum spin models, frustrated magnets, and the application of advanced techniques such as Floquet engineering and variational tensor networks. Samajdar's recent studies explore collective quantum phenomena like coarsening dynamics, supersolid phases, and the emergence of Dirac spin liquids in lattice models. Their work bridges theoretical predictions with experimental realizations through programmable quantum simulators.

Publications highlight advancements in understanding quantum phase transitions, hyperuniformity in electron liquids, and the role of long-range interactions in Hubbard models. Ongoing efforts involve machine learning approaches to uncover hidden orders and optimize quantum state tomography.

Samajdar collaborates with experimental groups to design quantum simulators for probing novel phases, such as those observed in twisted graphene superlattices and moiré materials. Their research contributes to foundational understanding of quantum matter with potential applications in quantum computing and topological materials.