报告人：Yipeng Huang，Rutgers University
Zoom Meeting ID：912 1488 4247
20th Century computing had been founded on two cornerstone abstractions: binary encoding of data and discrete-time evolution.
As computing evolves throughout the 21st Century, multi-valued (as opposed to binary), continuous-time (as opposed to discrete-time), and quantum (as opposed to classical) computing have all emerged as important possibilities for greater computing performance and efficiency, and to solve problems not solvable before. In this talk I will discuss three different case studies for non-traditional computing, including:
1) Solving nonlinear problems.
2) The representation of quantum computing circuits as networks of tensor (generalized matrix) multiplications.
3) The potential of quantum computing with multivalue quantum bits.
Yipeng Huang joined Rutgers University as an assistant professor in 2020. His research and teaching are in quantum computing and emerging computer architectures. He is interested in quantum computer systems: how to program them, simulate them, and debug them. His research has previously been supported by a DARPA STTR grant, and his work had been cited among IEEE MICRO top picks. Prior to joining Rutgers, Yipeng was a postdoc at Princeton University with Dr. Margaret Martonosi, and was a PhD student at Columbia University with Dr. Simha Sethumadhavan.