Silicon Loop-Type Multimode Waveguide Structure With Fan-Out Output for Photonic Reservoir Computing

被引:0
作者
Heinsalu, Siim [1 ,2 ]
Kan, Takashi [1 ,2 ]
Oshima, Hirotaka [1 ,2 ]
Tanaka, Hideaki [1 ,2 ]
Suzuki, Masatoshi [1 ,2 ]
Utaka, Katsuyuki [1 ,2 ]
机构
[1] Waseda Univ, Fac Sci & Engn, Tokyo 1698555, Japan
[2] KDDI Res Inc, Saitama 3560003, Japan
关键词
Couplings; Photonics; Silicon; Training; Task analysis; Special issues and sections; Reservoirs; Reservoir computing; silicon photonics; multimode waveguides; loop waveguide; fan-out configuration; NARMAm task; LARGE-SCALE; HIGH-SPEED; SPECKLE; FIELD;
D O I
10.1109/JLT.2024.3421522
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Silicon loop-type multimode waveguide structure with fan-out output was proposed as an efficient configuration for photonic reservoir computing (RC). The device aimed to enhance node interaction between spatial and temporal-nodes through its loop-like configuration and the use of multimode waveguides. The structural design, including novel triangular configurations as input and output coupling regions, prioritized low loss and adjustable coupling coefficient, respectively. Fundamental characteristics necessary for RC were evaluated such as spatial effects through field profile imaging and temporal effects via output pulse observations. Experimental validation included speckle observation with near-field imaging, mode mixing with transmission spectra, and impulse response measurements. In our specific case, the final device employed a multimode waveguide with a width of 25 mu m and a loop length of 15 mm, featuring 65 spatial nodes and 13 temporal nodes. Fan-out output was utilized to measure higher-order modes without significant losses. Our experimental findings showcased that a single pulse exhibited a spreading factor of 2.35 and could circulate up to four times. Additionally, the longest anticipated memory duration was approximately 800 ps. Also, the RC performances were evaluated in terms of memory capacity (MC) of about 11 and NARMA3 task with its NMSE of about 4 x 10(-3), which seem superior to the previous result. Furthermore, the used parameters were also confirmed to be scalable, suggesting the potential for achieving expanding node counts in future work for higher RC performances.
引用
收藏
页码:7321 / 7329
页数:9
相关论文
共 36 条
[1]   Minimum complexity integrated photonic architecture for delay-based reservoir computing [J].
Abdalla, Mohab ;
Zrounba, Clement ;
Cardoso, Raphael ;
Jimenez, Paul ;
Ren, Guanghui ;
Boes, Andreas ;
Mitchell, Arnan ;
Bosio, Alberto ;
O'connor, Ian ;
Pavanello, Fabio .
OPTICS EXPRESS, 2023, 31 (07) :11610-11623
[2]   Human action recognition with a large-scale brain-inspired photonic computer [J].
Antonik, Piotr ;
Marsal, Nicolas ;
Brunner, Daniel ;
Rontani, Damien .
NATURE MACHINE INTELLIGENCE, 2019, 1 (11) :530-537
[3]   Information processing using a single dynamical node as complex system [J].
Appeltant, L. ;
Soriano, M. C. ;
Van der Sande, G. ;
Danckaert, J. ;
Massar, S. ;
Dambre, J. ;
Schrauwen, B. ;
Mirasso, C. R. ;
Fischer, I. .
NATURE COMMUNICATIONS, 2011, 2
[4]   Photonic reservoir computer using speckle in multimode waveguide ring resonators [J].
Ashner, Matthew N. ;
Paudel, Uttam ;
Luengo-Kovac, Marta ;
Pilawa, Jacob ;
Valley, George C. .
OPTICS EXPRESS, 2021, 29 (13) :19262-19277
[5]   Beyond the Data Deluge [J].
Bell, Gordon ;
Hey, Tony ;
Szalay, Alex .
SCIENCE, 2009, 323 (5919) :1297-1298
[6]   LEARNING LONG-TERM DEPENDENCIES WITH GRADIENT DESCENT IS DIFFICULT [J].
BENGIO, Y ;
SIMARD, P ;
FRASCONI, P .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1994, 5 (02) :157-166
[7]   Next Generation Automated Reservoir Computing for Cyber Defense [J].
Demertzis, Konstantinos ;
Iliadis, Lazaros .
ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, AIAI 2023, PT II, 2023, 676 :16-27
[8]   All-optical reservoir computing [J].
Duport, Francois ;
Schneider, Bendix ;
Smerieri, Anteo ;
Haelterman, Marc ;
Massar, Serge .
OPTICS EXPRESS, 2012, 20 (20) :22783-22795
[9]   Data-intensive computing in the 21st century [J].
Gorton, Ian ;
Greenfield, Paul ;
Szalay, Alex ;
Williams, Roy .
COMPUTER, 2008, 41 (04) :30-32
[10]   Design and Experiment of Silicon Racetrack-Loop Multi-Mode Waveguide Structure with Low-Loss and Adjustable Couplings for Compact Reservoir Computing Device [J].
Heinsalu, Siim ;
Utaka, Katsuyuki .
2023 INTERNATIONAL CONFERENCE ON PHOTONICS IN SWITCHING AND COMPUTING, PSC, 2023,