BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Drupal iCal API//EN X-WR-CALNAME:Events items teaser X-WR-TIMEZONE:America/Toronto BEGIN:VTIMEZONE TZID:America/Toronto X-LIC-LOCATION:America/Toronto BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:20230312T070000 END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20221106T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:6828e72f353bc DTSTART;TZID=America/Toronto:20230315T110000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20230315T120000 URL:/institute-for-quantum-computing/events/quantum-mat ters-seminar-series-language-models-quantum SUMMARY:Quantum Matters Seminar Series: Language Models for Quantum Simulat ion\n CLASS:PUBLIC DESCRIPTION:Summary \n\nROGER MELKO: LANGUAGE MODELS FOR QUANTUM SIMULATION \n\nAbstract: As the frontiers of artificial intelligence advance more\nra pidly than ever before\, generative language models like ChatGPT are\npois ed to unleash vast economic and social transformation. In\naddition to th eir remarkable performance on typical language tasks\n(such as writing und ergraduate research papers)\, language models are\nbeing rapidly adopted a s powerful ansatze states for quantum many-body\nsystems.  In this talk\, I will discuss the use of language models for\nlearning quantum states re alized in experimental Rydberg atom\narrays. By combining variational o ptimization with data-driven\nlearning using qubit projective measurements \, I will show how language\nmodels are poised to become one of the most p owerful computational\ntools in our arsenal for the design and characteriz ation of quantum\nsimulators and computers.\n DTSTAMP:20250517T194447Z END:VEVENT END:VCALENDAR