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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-c7af0926b294e47e52e46cfebe173f20@iqus.uw.edu
DTSTART:20230412T203000Z
DTEND:20230412T213000Z
DTSTAMP:20230330T022400Z
CREATED:20230329
LAST-MODIFIED:20230411
PRIORITY:5
SEQUENCE:0
TRANSP:OPAQUE
SUMMARY:Efficient Adaptive Variational Quantum Algorithms
DESCRIPTION:Sophia Economou, Virginia Tech\n \n\n \nVariational quantum algorithms (VQAs) constitute a class of hybrid quantum-classical algorithms that are envisioned as appropriate for noisy intermediate scale quantum processors. The majority of VQAs focus on quantum simulation, and particularly finding properties of many-body quantum systems, such as the ground state energies of complicated molecules. Other problems, such as optimization and machine learning are also being explored with this approach. In VQAs, the quantum processor is where the quantum state is variationally prepared and where measurements are made, while the classical computer performs optimization. I will present our work on ADAPT-VQE and its variations for designing efficient, compact ansatze both for many-body and for optimization problems.\n
URL:https://iqus.uw.edu/events/sophia-economou/
CATEGORIES:Seminars
LOCATION:UW, 15th and Pacific, Seattle
ATTACH;FMTTYPE=image/png:https://iqus.uw.edu/wp-content/uploads/2023/03/sophia.png
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