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1. hsinyuan-huang.github.ioAbout - Hsin-Yuan Huang (Robert)

   hsinyuan-huang.github.io

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   About. 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.

2. scholar.google.com › citations‪Hsin-Yuan Huang (Robert)‬ - ‪Google Scholar‬

   scholar.google.com › citations

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   Articles 1–20. ‪California Institute of Technology, Google Quantum AI‬ - ‪‪Cited by 5,632‬‬ - ‪Quantum Information‬ - ‪Machine Learning‬ - ‪Quantum Many-Body Physics‬.

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4. simons.berkeley.edu › people › robert-huangRobert Huang - Simons Institute for the Theory of Computing

   simons.berkeley.edu › people › robert-huang

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   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. His research aims to build a rigorous foundation for modeling how scientists, machines, and future quantum computers learn about our inherently quantum-mechanical universe (molecules, ...

5. hsinyuan-huang.github.io › cvCV - Hsin-Yuan Huang (Robert)

   hsinyuan-huang.github.io › cv

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   Hsin-Yuan Huang (Robert) A theorist wondering how machines could discover new physics in our quantum universe. Follow. Cambridge, MA, USA. Twitter. Github. Google Scholar.

6. hsinyuan-huang.github.io › assets › imgHsin-Yuan Huang (Robert)

   hsinyuan-huang.github.io › assets › img

   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).

7. www.youtube.com › watchRobert Huang | March 22, 2022 | Provably efficient machine ...

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   22 de mar. de 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...

8. www.youtube.com › watchHsin Yuan Huang (Robert) - Learning theory in the quantum ...

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   Hsin-Yuan Huang (Robert) of Google Quantum AI presents "Learning theory in the quantum universe" at IPAM's Mathematical and Compu... Recorded 15 September 2023.

   • Duração do Vídeo: 74 min
   • Visualizações: 1041

   • Autor: Institute for Pure & Applied Mathematics (IPAM)