[2024-07-22] Hsin-Yuan Huang (Robert), Google, “Quantum Advantage”

  • 2024-07-12
  • 宋欣薏(職務代理)
Titile: Quantum Advantage
Date: 
2024-07-22 10:30-11:30
Location:  CSIE  R103
Speaker:
Hsin-Yuan Huang (Robert), Google

Host: Prof. Yen-Jen Oyang



Abstract:
Quantum technology promises to revolutionize our ability to compute, communicate, and learn about our universe. The enhancement that quantum technology could provide over classical technology is known as "Quantum Advantage". In this talk, we'll explore the current landscape of quantum advantages — what's been shown and what's on the horizon. The talk will focus on rigorously proven quantum advantages, with mathematical rigor as a central component. We'll explore why this mathematical foundation is crucial for understanding the true potential and limitations of quantum technology, and discuss how these proven advantages could potentially translate into real-world applications and scientific breakthroughs.



Biography:
Hsin-Yuan Huang (Robert) is an Incoming Assistant Professor of Theoretical Physics at Caltech starting in 2025. He is currently a Senior Research Scientist at Google Quantum AI and a Visiting Scientist at MIT. He obtained his Ph.D. under the guidance of John Preskill and Thomas Vidick.


His research focuses on leveraging the theory of learning to gain new insights into physics, information, and quantum computation. His notable works include classical shadow tomography for learning large-scale quantum systems, provably efficient machine learning algorithms for solving quantum many-body problems, and quantum advantages in learning from experiments. His research findings have been published in Nature, Science, Nature Physics, Nature Review Physics, Nature Communications, Physical Review Letters, PRX Quantum, as well as premier conferences in theoretical computer science, such as IEEE Symposium on Foundations of Computer Science (FOCS), and ACM Symposium on Theory of Computing (STOC). Over the past five years, he has been invited to give more than 120 research talks.

His Ph.D. thesis, "Learning in the Quantum Universe", has received the Milton and Francis Clauser Doctoral Prize awarded to one among all Caltech 2024 graduates, whose research is judged to exhibit the greatest degree of originality and potential for opening up new avenues of human thought and endeavor. He has also been awarded the Ben P. C. Chou Doctoral Prize in Information Science and Technology, a Google Ph.D. fellowship, the Boeing Quantum Creator Prize, the MediaTek Research Young Scholarship, and the Kortschak Scholarship. He is recognized as the William H. Hurt Scholar, an endowed early career professorship starting in 2025.