Integrated photonic modular arithmetic processor

被引:1
作者
Wu, Yuepeng [1 ]
Guo, Hongxiang [1 ]
Zhang, Bowen [1 ]
Qiu, Jifang [1 ]
Yang, Zhisheng [1 ]
Wu, Jian [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Sch Elect Engn, Beijing 100876, Peoples R China
基金
中国国家自然科学基金;
关键词
OPTICAL QUANTIZER; PERFORMANCE; ACCELERATOR; CONVERSION;
D O I
10.1364/PRJ.527762
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Integrated photonic computing has emerged as a promising approach to overcome the limitations of electronic processors in the post-Moore era. However, present integrated photonic computing systems face challenges in achieving high-precision calculations, consequently limiting their potential applications, and their heavy reliance on analog-to-digital (AD) and digital-to-analog (DA) conversion interfaces undermines their performance. Here we propose an innovative photonic computing architecture featuring scalable calculation precision and, to our knowledge, a novel photonic conversion interface. By leveraging the residue number system (RNS) theory, the high-precision calculation is decomposed into multiple low-precision modular arithmetic operations executed through optical phase manipulation. Those operations directly interact with the digital system via our proposed optical digital-to-phase converter (ODPC) and phase-to-digital converter (OPDC). Through experimental demonstrations, we showcase a calculation precision of 9 bits and verify the feasibility of the ODPC/OPDC photonic interface. This approach paves the path towards liberating photonic computing from the constraints imposed by limited precision and AD/DA converters. (c) 2024 Chinese Laser Press
引用
收藏
页码:2676 / 2690
页数:15
相关论文
共 65 条
[61]   Electronic-photonic arithmetic logic unit for high-speed computing [J].
Ying, Zhoufeng ;
Feng, Chenghao ;
Zhao, Zheng ;
Dhar, Shounak ;
Dalir, Hamed ;
Gu, Jiaqi ;
Cheng, Yue ;
Soref, Richard ;
Pan, David Z. ;
Chen, Ray T. .
NATURE COMMUNICATIONS, 2020, 11 (01)
[62]   Digitization method for a photonic analog-to-digital converter with phase-shifted optical quantization [J].
Zhang, Bowen ;
Qiu, Jifang ;
Li, Qiuyan ;
He, Yijun ;
Tao, Ran ;
Li, Yan ;
Wu, Jian .
OPTICS LETTERS, 2024, 49 (05) :1333-1336
[63]   Silicon microring synapses enable photonic deep learning beyond 9-bit precision [J].
Zhang, Weipeng ;
Huang, Chaoran ;
Peng, Hsuan-Tung ;
Bilodeau, Simon ;
Jha, Aashu ;
Blow, Eric ;
de Lima, Thomas Ferreira ;
Shastri, Bhavin J. ;
Prucnal, Paul .
OPTICA, 2022, 9 (05) :579-584
[64]   In-memory photonic dot-product engine with electrically programmable weight banks [J].
Zhou, Wen ;
Dong, Bowei ;
Farmakidis, Nikolaos ;
Li, Xuan ;
Youngblood, Nathan ;
Huang, Kairan ;
He, Yuhan ;
David Wright, C. ;
Pernice, Wolfram H. P. ;
Bhaskaran, Harish .
NATURE COMMUNICATIONS, 2023, 14 (01)
[65]   Integrated photonics on thin-film lithium niobate [J].
Zhu, Di ;
Shao, Linbo ;
Yu, Mengjie ;
Cheng, Rebecca ;
Desiatov, Boris ;
Xin, C. J. ;
Hu, Yaowen ;
Holzgrafe, Jeffrey ;
Ghosh, Soumya ;
Shams-Ansari, Amirhassan ;
Puma, Eric ;
Sinclair, Neil ;
Reimer, Christian ;
Zhang, Mian ;
Loncar, Marko .
ADVANCES IN OPTICS AND PHOTONICS, 2021, 13 (02) :242-352