Shouvanik Chakrabarti
Graduate Student (2018-2022)
Graduate Student, Alumni
Contact Information
- shouv@cs.umd.edu
- Office:
3106 Atlantic Building
Bio
Shouvanik graduated from the University of Maryland with a Ph.D. in Computer Science. He was advised by Prof. Xiaodi Wu. He is interested in quantum algorithms related to optimization and machine learning. Shouvanik is employed as an Applied Research Lead in Quantum Computing at the ‘Future Lab for Applied Research and Engineering (FLARE)’ at J.P.Morgan Chase and Co.
Recent Publications
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels
, , arXiv, (2023)Quantum Algorithm for Estimating Volumes of Convex Bodies
, , ACM Transactions on Quantum Computing, 4, 1–60, (2023)A Convergence Theory for Over-parameterized Variational Quantum Eigensolvers
, , arXiv, (2022)