Hsin-Yuan (Robert) Huang

I am Hsin-Yuan Huang (黃信元, pronounced "Shin Yuan Huan"). I also go by Robert.

My research aims to build a rigorous foundation for understanding how scientists, machines, and future quantum computers can learn and discover new phenomena governing our quantum-mechanical universe (molecules, materials, pharmaceutics, exotic quantum matter, engineered quantum devices, etc.).

I leverage quantum information theory, quantum many-body physics, learning theory, and complexity theory to formalize and explore new questions in the following directions:

• When can quantum machines learn and predict better than classical machines?
• How to accelerate/automate the development of quantum and physical sciences?
• What physical phenomena can classical vs quantum machines learn and discover?

My ultimate goal is to build quantum machines capable of discovering new facets of our universe beyond the capabilities of humans and classical machines.