Xi Chen, Dongliang Yang, Geunwoo Hwang, Yujiao Dong, Binbin Cui, Dingchen Wang, Hegan Chen, Ning Lin, Wenqi Zhang, Huihan Li, Ruiwen Shao, Peng Lin, Heemyoung Hong, Yugui Yao, Linfeng Sun, Zhongrui Wang, Heejun Yang
Neural networks are increasingly used to solve optimization problems in various fields, including operations research, design automation, and gene sequencing. However, these networks face challenges due to the nondeterministic polynomial time (NP)-hard issue, which results in exponentially increasing computational complexity as the problem size grows. Conventional digital hardware struggles with the von Neumann bottleneck, the slowdown of Moore's law, and the complexity arising from heterogeneous system design...
April 10, 2024: ACS Nano