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I am Hsin-Yuan Huang (pronounced as “Shin Yuan Huan”, 黃信元), a visiting scientist at MIT and a research scientist at Google Quantum AI. I received my Ph.D. in 2023 advised by John Preskill and Thomas Vidick. I also go by the name Robert. In 2025, I will start as an Assistant Professor of Theoretical Physics at Caltech.
Articles 1–20. California Institute of Technology, Google Quantum AI - Cited by 5,746 - Quantum Information - Machine Learning - Quantum Many-Body Physics.
Hsin-Yuan Huang (Robert) is a research scientist at Google Quantum AI. He obtained his PhD from Caltech in 2023, advised by John Preskill and Thomas Vidick.
Hsin-Yuan Huang (Robert) A theorist wondering how machines could discover new physics in our quantum universe. Follow. Cambridge, MA, USA. Twitter. Github.
Ph.D., California Institute of Technology. Thesis advisor: John Preskill (Physics) and Thomas Vidick (CS). Thesis title: Learning in the quantum universe. Member of the Institute for Quantum Information and Matter (IQIM).
22 mar 2022 · Mathematical Picture Language. 1.59K subscribers. 10. 583 views 1 year ago. Title: Provably efficient machine learning for quantum many-body problems Speaker: Hsin-Yuan (Robert) Huang (Caltech)...
22 giu 2020 · Predicting the properties of complex, large-scale quantum systems is essential for developing quantum technologies. We present an efficient method for constructing an approximate classical...
