Raj Pabari

I am a PhD candidate working on quantum algorithms with Nathan Wiebe at University of Toronto. I hold a MS in theoretical computer science and BS in pure mathematics from Stanford.

Currently, I am working on a variant of shadow Hamiltonian simulation for interacting quantum field theories. I am also working on new algorithmic primitives for efficiently simulating classical physics on quantum computers and wrapping up an astrophysics project with Roger Blandford on a theory for JWST’s “little red dot” galaxies.

Previously, I visited the Quantum Systems Lab at Yale working on error correction for quantum computing. I also developed a game theory model of direct price competition with revenue sharing at Amazon, used machine learning to accelerate specialty gas R&D at semiconductor manufacturer EMD Electronics, and worked on a classified software project at Northrop Grumman. I also founded two startups, one which used generative AI for personalized sales emails and another which created portable hydroelectric generators for backpackers.

Outside of all this, I enjoy running long distances, hiking, playing poker, and reading philosophy. Check out my blog below for some stories and reflections about my adventures. Feel free to contact me by clicking the email icon below!