Learning Faster Physics with AI
A transformer-based surrogate model for spatially structured quantum dynamics, designed to make simulation-driven discovery much faster.
Physics PhD Candidate @ Stony Brook University
My long-term vision is to build self-evolving laboratories that accelerate the cycle of discovery and innovation.
Selected projects.
A transformer-based surrogate model for spatially structured quantum dynamics, designed to make simulation-driven discovery much faster.
A theoretical dual-wavelength quantum memory that can bridge node-band and telecom-band photons without an external frequency converter.
A deployed-fiber quantum networking testbed connecting distant laboratories through timing synchronization, polarization stabilization, and long-distance photon interference.