报告人：Yipeng Huang，Rutgers University
时的间：2022/06/17 上午10:00
主持人：孙仲 研究员
Zoom Meeting ID：912 1488 4247
Zoom会议链接：https://zoom.us/j/91214884247
Abstract:
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.
Biography:
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.
