Robert Huang

Hsin-Yuan Huang (Robert) is an Assistant Professor of Theoretical Physics at Caltech. His research explores how quantum systems learn and process information, with a focus on building a rigorous foundation for understanding how scientists, machines, and future quantum computers can learn and discover new phenomena governing our quantum-mechanical universe.

Prior to joining Caltech, he was a Senior Research Scientist at Google Quantum AI and a Visiting Scientist at MIT. He received his Ph.D. from Caltech under John Preskill and Thomas Vidick, where his thesis "Learning in the Quantum Universe" was awarded the Milton and Francis Clauser Doctoral Prize. His research has appeared in Nature, Science, and leading computer science conferences.

Huang is recognized as the William H. Hurt Scholar, an endowed early career professorship. His notable contributions include identifying quantum advantages in learning from experiments, and developing efficient learning algorithms for quantum many-body systems.