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X-ORIGINAL-URL:https://iqus.uw.edu/
X-WR-CALNAME:IQuS
X-WR-CALDESC:InQubator for Quantum Simulation
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BEGIN:VEVENT
CLASS:PUBLIC
UID:MEC-f1b0775946bc0329b35b823b86eeb5f5@iqus.uw.edu
DTSTART:20241016T203000Z
DTEND:20241016T213000Z
DTSTAMP:20240914T170800Z
CREATED:20240914
LAST-MODIFIED:20241017
PRIORITY:5
SEQUENCE:3
TRANSP:OPAQUE
SUMMARY:What cannot be learned in the quantum universe?
DESCRIPTION:\nHsin-Yuan (Robert) Huang, Google Quantum AI and Caltech\nRecent advances have significantly enhanced our understanding of what can be efficiently learned in the quantum universe. However, certain fundamental aspects remain resistant to efficient learning using known algorithms. This talk explores several of fundamental properties—including time, causal structure, topological order, and noise—and demonstrates how they can be provably hard to learn. These results stem from our recent work on how to construct random unitaries (with Ma, forthcoming) and generate them in extremely low depth (with Schuster and Haferkamp, arXiv:2407.07754). Examining these “unlearnable” aspects of our world sheds light on the fundamental limits of scientific inquiry in the quantum realm.\n\n\n
URL:https://iqus.uw.edu/events/hsin-yuan-huang-google-quantum-ai-and-caltech/
ORGANIZER;CN=Niklas Mueller:MAILTO:niklasmu@uw.edu
CATEGORIES:Seminars
LOCATION:UW, 15th and Pacific, Seattle
ATTACH;FMTTYPE=image/jpeg:https://iqus.uw.edu/wp-content/uploads/2024/09/Hsin-Yuan_Huang.jpg
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