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Yipeng is a postdoctoral research associate at Princeton University, working with Prof. Margaret Martonosi. His research area is in quantum computer architecture, focusing on problems in helping programmers write correct quantum programs, and on applying techniques in probabilistic computing in the area of quantum simulation. He is funded by the NSF through EPiQC, an expedition in quantum computing bridging algorithms and machines.
He received his PhD in computer science from Columbia University, under the guidance of Prof. Simha Sethumadhavan. Yipeng’s dissertation work was in applications of analog computing in the area of scientific computing. Along with his collaborators, Yipeng contributed to building Columbia University’s prototype analog accelerator, which has found applications in solving nonlinear partial differential equations. The work sparked interest among computer architecture researchers, who named it a MICRO Top Pick in 2017 and an honorable mention in 2018. He was funded in part through a DARPA STTR grant to investigate commercial applications.
|WAX 2019||Invited Talk: Yipeng Huang|
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