Quantum · Learning · Science

Wanli Cheng程万里

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

Questions shaped by structure.

01

Quantum error correction & holographic codes

Error-correcting structures at the interface of quantum information and holography.

02

Hyperbolic geometry & fracton models

Geometric perspectives on constrained quantum systems and fracton behavior.

03

Quantum speedups & machine learning

Computational settings where quantum methods and learning algorithms meet.

04

AI for Science

Learning-based tools for scientific modeling, inference, and discovery.