Hi everyone,
This summer, we will be hosting a biweekly Quantum Machine Learning (QML)
journal club. The fourth meeting is this Wednesday (August 2nd) at 2:30 PM,
where Rodrigo will present and lead a discussion on this paper
<https://epjquantumtechnology.springeropen.com/articles/10.1140/epjqt/s40507-022-00155-w>.
Rodrigo will be briefly introducing methods such as VQEs and fragmentation,
and will then dive into the assumptions, breakthroughs, and limitations of
the paper. Please give this paper a read ahead of time, and hope to see you
there!
Best,
Iria Wang, Rodrigo Araiza Bravo, Andi Gu, Hong-Ye Hu, Christoph Gorgulla
--
*QML Journal Club*
*Wednesday, August 2nd*
*2:30 PM in LISE 303*
*Zoom: *zoom link
<https://harvard.zoom.us/j/96256473953?pwd=QkpQMHNyWDR0ZUhBdnZZVUtFYXBTQT09>
(password: 952455)
*Rodrigo Araiza Bravo*, Physics PhD Candidate @ Harvard University
*Paper Title: *Modelling carbon capture on metal-organic frameworks with
quantum computing (Greene-Diniz, et al.)
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