Anuj Apte

I am a Senior Research Associate at JP Morgan Chaseworking on deep learning and quantum computing.

Previously, I completed a Ph.D. in Physics at University of Chicago (2020–2025), with a dissertation titled Deep Learning and Non-Invertible Symmetries in Gauge Theories supervised by Clay Córdova.

I earned a B.S. in Physics and Philosophy from Massachusetts Institute of Technology (2016-2020). During my time at MIT, I worked with Scott A. Hughes on black-hole physics and Mingda Li on topological materials.

Research interests include:

• Quantum computation: heuristic algorithms, hardware demonstrations, simulation of physical systems on quantum computers
• Deep learning: optimization methods, learning quantum states
• Quantum field theory: topological phases of matter

If you would like to like to collaborate or discuss any of these topics feel free to reach out via email !