Quantum error correction & holographic codes
Error-correcting structures at the interface of quantum information and holography.
Quantum · Learning · Science
PhD Student in Computing & Data Sciences
Boston University
I work at the intersection of quantum computing, machine learning, and AI for Science. My current interests include quantum error correction, hyperbolic and fracton-inspired models, and the foundations of quantum computational advantage.
Research focus
Error-correcting structures at the interface of quantum information and holography.
Geometric perspectives on constrained quantum systems and fracton behavior.
Computational settings where quantum methods and learning algorithms meet.
Learning-based tools for scientific modeling, inference, and discovery.