Rahul Sarkar

Rahul Sarkar is a Postdoctoral Fellow at the University of California, Berkeley, affiliated with the Department of Mathematics. He was previously a Ph.D. student in the Institute for Computational and Mathematical Engineering (ICME) at Stanford University, graduating in 2022 under the advisement of Biondo Biondi and András Vasy.

• Research Interests: Quantum information theory, inverse problems, machine learning, microlocal analysis, and numerical methods for PDEs.
• Scientific Contributions: Developed novel quantum computing algorithms and numerical schemes for geophysical imaging, with applications in seismic tomography and quantum signal processing.
• Teaching: Taught courses at Stanford including Introduction to Quantum Computing and 3D Seismic Imaging, with roles as instructor and course assistant.
• Awards: Schlumberger Innovation Fellowship (2019-2020).

His work bridges mathematical analysis and quantum computation, with a focus on solving real-world problems through interdisciplinary approaches. He has collaborated with institutions like IBM and Schlumberger to apply quantum algorithms to geoscience and financial optimization.