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基于逆设计方法的全光二进制计算

All-optical binary computation based on inverse design method.

作者信息

Qi Huixin, Du Zhuochen, Yang Jiayu, Hu Xiaoyong, Gong Qihuang

机构信息

State Key Laboratory for Mesoscopic Physics and Department of Physics, Collaborative Innovation Center of Quantum Matter & Frontiers Science Center for Nano-optoelectronics, Beijing Academy of Quantum Information Sciences, Peking University, Beijing 100871, P. R. China.

Peking University Yangtze Delta Institute of Optoelectronics, Nantong, Jiangsu 226010, P. R. China.

出版信息

Nanophotonics. 2021 Oct 26;11(9):2117-2127. doi: 10.1515/nanoph-2021-0467. eCollection 2022 Apr.

DOI:10.1515/nanoph-2021-0467
PMID:39633936
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11501324/
Abstract

The development of information technology urgently requires ultrafast, ultra-low energy consumption and ultra-high-capacity data computing abilities. Traditional computing method of electronic chips is limited by the bottleneck of Moore's Law. All-optical computing of photonic chips provides a promising way to realize such high-performance data computing abilities. Until now, it is still a huge challenge to realize all-optical four arithmetic operations at the same time on a photonic chip. Here, we propose a new encoding scheme for all-optical binary computation, including -bit addition, subtraction, multiplication and division. We theoretically present -bit calculation and experimentally demonstrate 1 bit calculation. The computation part includes a half binary adder and a shifter, whose feature sizes are only 2 μm × 19.5 μm and 4 μm × 9 μm, respectively. The half binary adder and shifter consist of three low-loss basic devices through inverse design method. The distance between two adjacent basic devices is smaller than 1.5 μm, within wavelength magnitude scale. The response time is the propagation time of the signal light in a single device, within 100 fs. The threshold energy consumption is within 10 fJ/bit. Our results provide a new method to realize ultrafast, ultra-low energy consumption and ultra-high-capacity data processing abilities all-optical -bit binary computing.

摘要

信息技术的发展迫切需要超高速、超低能耗和超高容量的数据计算能力。电子芯片的传统计算方法受到摩尔定律瓶颈的限制。光子芯片的全光计算为实现这种高性能数据计算能力提供了一条有前景的途径。到目前为止,在光子芯片上同时实现全光四则运算是一个巨大的挑战。在此,我们提出了一种用于全光二进制计算的新编码方案,包括位加法、减法、乘法和除法。我们从理论上给出了位计算,并通过实验演示了1位计算。计算部分包括一个半二进制加法器和一个移位器,其特征尺寸分别仅为2μm×19.5μm和4μm×9μm。半二进制加法器和移位器通过逆设计方法由三个低损耗基本器件组成。两个相邻基本器件之间的距离小于1.5μm,在波长量级范围内。响应时间是信号光在单个器件中的传播时间,在100fs以内。阈值能耗在10fJ/位以内。我们的结果为实现超高速、超低能耗和超高容量数据处理能力的全光位二进制计算提供了一种新方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f29/11501324/5c0190619067/j_nanoph-2021-0467_fig_008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f29/11501324/f68bfb6d9934/j_nanoph-2021-0467_fig_001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f29/11501324/50b21b5b24df/j_nanoph-2021-0467_fig_002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f29/11501324/65e5a6cafc74/j_nanoph-2021-0467_fig_003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f29/11501324/ebf1a1a6d5a2/j_nanoph-2021-0467_fig_004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f29/11501324/98d970413445/j_nanoph-2021-0467_fig_005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f29/11501324/c381513c5f43/j_nanoph-2021-0467_fig_006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f29/11501324/fb022ca1b6a4/j_nanoph-2021-0467_fig_007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f29/11501324/5c0190619067/j_nanoph-2021-0467_fig_008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f29/11501324/f68bfb6d9934/j_nanoph-2021-0467_fig_001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f29/11501324/50b21b5b24df/j_nanoph-2021-0467_fig_002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f29/11501324/65e5a6cafc74/j_nanoph-2021-0467_fig_003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f29/11501324/ebf1a1a6d5a2/j_nanoph-2021-0467_fig_004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f29/11501324/98d970413445/j_nanoph-2021-0467_fig_005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f29/11501324/c381513c5f43/j_nanoph-2021-0467_fig_006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f29/11501324/fb022ca1b6a4/j_nanoph-2021-0467_fig_007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f29/11501324/5c0190619067/j_nanoph-2021-0467_fig_008.jpg

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