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DTSTART:20230312T070000
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DTSTART:20221106T060000
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UID:69d50c9b31b33
DTSTART;TZID=America/Toronto:20230315T110000
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TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20230315T120000
URL:https://uwaterloo.ca/institute-for-quantum-computing/events/quantum-mat
 ters-seminar-series-language-models-quantum
LOCATION:QNC - Quantum Nano Centre 200 University Avenue West QNC 1201 Wate
 rloo ON N2L 3G1 Canada
SUMMARY:Quantum Matters Seminar Series: Language Models for Quantum Simulat
 ion
CLASS:PUBLIC
DESCRIPTION:ROGER MELKO: LANGUAGE MODELS FOR QUANTUM SIMULATION\n\nAbstract
 : As the frontiers of artificial intelligence advance more\nrapidly than e
 ver before\, generative language models like ChatGPT are\npoised to unlea
 sh vast economic and social transformation. In\naddition to their remarkab
 le performance on typical language tasks\n(such as writing undergraduate r
 esearch papers)\, language models are\nbeing rapidly adopted as powerful a
 nsatze states for quantum many-body\nsystems.  In this talk\, I will disc
 uss the use of language models for\nlearning quantum states realized in 
 experimental Rydberg atom\narrays. By combining variational optimization 
 with data-driven\nlearning using qubit projective measurements\, I will sh
 ow how language\nmodels are poised to become one of the most powerful comp
 utational\ntools in our arsenal for the design and characterization of qua
 ntum\nsimulators and computers.
DTSTAMP:20260407T135435Z
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