Yahoo France Recherche Web

Résultats de recherche

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

   hsinyuan-huang.github.io

   • En cache

   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.).

2. Images

   • 
   • 
   • 
   • 
   • 

   Tout afficher

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

   scholar.google.com › citations

   • En cache

   Articles 1–20. ‪California Institute of Technology, Google Quantum AI‬ - ‪‪Cited by 5,822‬‬ - ‪Quantum Information‬ - ‪Machine Learning‬ - ‪Quantum Many-Body Physics‬.

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

   simons.berkeley.edu › people › robert-huang

   • En cache

   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. Vidéos

   • 

     50:23

     youtube.com

     Hsin-Yuan (Robert) Huang - Learning to predict arbitrary quantum processes - IPAM at UCLA

     18 oct. 2023

     644 vues

   • 

     3:38

     youtube.com

     硬啦!!!

     29 nov. 2008

     465.5K vues

   • 

     3:59

     youtube.com

     洪榮宏_挽仙桃

     26 août 2008

     306.9K vues

   Tout afficher

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 ...

   www.youtube.com › watch

   • En cache

   22 mars 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. qsimconference.org › presenter › robert-huangRobert Huang - qsimconference.org

   qsimconference.org › presenter › robert-huang

   • En cache

   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.

9. www.linkedin.com › in › hsin-yuan-robert-huang-a59a68bbHsin-Yuan (Robert) Huang - Pasadena, California, United ...

   www.linkedin.com › in › hsin-yuan-robert-huang-a59a68bb

   Location: Pasadena · 173 connections on LinkedIn. View Hsin-Yuan (Robert) Huang’s profile on LinkedIn, a professional community of 1 billion members.