Open AccessInverse design of the MMI power splitter by asynchronous double deep Q-learning
Author(s) -
Xiaopeng Xu,
Li Yu,
WeiPing Huang
Publication year - 2021
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.440782
Subject(s) - asynchronous communication , splitter , computer science , optics , interference (communication) , bandwidth (computing) , insertion loss , beam splitter , wavelength , physics , telecommunications , laser , channel (broadcasting)
The asynchronous double deep Q-learning (A-DDQN) method is proposed to design the multi-mode interference (MMI) power splitters for low insertion loss and wide bandwidth from 1200 to 1650 nm wavelength range. By using A-DDQN to guide hole etchings in the interference region of MMI, the target splitting ratio (SR) can be obtained with much less CPU time (about 10 hours for one design) and more effective utilization of the computational resources in asynchronous/parallel manner. Also, this method can simplify the design by using relatively few holes to obtain the same SR with small return loss.