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Ravi Kumar
PhD candidate in Physics at Duke University working on quantum information science, open quantum systems, and tensor-network methods.
Posts
leadership
portfolio
publications
Geometric quenches in quasidisordered lattice systems
Published in Physical Review B, 2022
we investigate the effect of geometric quench in the Aubry-André model, which supports localization-delocalization transition even in one dimension.
Recommended citation: PhysRevB.105.224202
Download Paper | Download Bibtex
talks
How can we more efficiently simulate the quantum world?
Published:
Gave a talk on “How can we more efficiently simulate the quantum world?” at the Duke Research Cafe .
Tensor-Network Methods for Driven-Dissipative Quantum Many-Body Dynamics
Published:
I gave a GSS (Graduate Student Seminar) talk on “Tensor-Network Methods for Driven-Dissipative Quantum Many-Body Dynamics”
teaching
Nuclear Physics Lab TA
Undergraduate & Graduate course, IIT Varanasi, Physics, 2022
I worked as a Lab TA for PHY - 401 : Introductory Nuclear Physics for senior undergrads & masters student.
Electricity & Magnetism TA
Undergraduate, Duke University, Physics, 2023
PHY - 142 (Introductory E&M) at Duke University : Worked as a grader, and led weekly Discussions.
Classical mechanics Lab TA
Undergraduate, Duke University, Physics, 2024
PHY - 151 (Introduction to Mechanics) at Duke University : Worked as a Lab TA for the course.
Classical mechanics Lab TA
Undergraduate, Duke University, Physics, 2026
I’m working as a Lab TA for the PHY - 151 (Introduction to Mechanics) at Duke University.