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ЖУРНАЛЫ // Компьютерная оптика

Компьютерная оптика, 2023, том 47, выпуск 4, страницы 588–595 (Mi co1159)

On chip optical neural networks based on MMI microring resonators for image classification
T. T. Bui, D. T. Le, T. H. Nguyen, T. T. Le

Список литературы

1. Xiang S, et al., “A review: Photonics devices, architectures, and algorithms for optical neural computing”, J Semicond, 42:2 (2021), 023105  crossref
2. Kazanskiy NL, Butt MA, Khonina SN, “Optical computing: Status and perspectives”, Nanomaterials, 12:13 (2022), 2171  crossref
3. Sui X, Wu Q, Liu J, Chen Q, Gu G, “A review of optical neural networks”, IEEE Access, 8 (2020), 70773–70783  crossref
4. Yang L, Ji R, Zhang L, Ding J, Xu Q, “On-chip CMOS-compatible optical signal processor”, Opt Express, 20:12 (2012), 13560–13565  crossref
5. Salmani M, Eshaghi A, Luan E, Saha S, “Photonic computing to accelerate data processing in wireless communications”, Opt Express, 29:14 (2021), 22299–22314  crossref
6. Harris NC, et al., “Linear programmable nanophotonic processors”, Optica, 5:12 (2018), 1623–1631  crossref
7. Tait AN, et al., “Feedback control for microring weight banks”, Opt Express, 26:20 (2018), 26422–26443  crossref
8. Le TT, Cahill LW, Elton D, “The design of 2 X 2 SOI MMI couplers with arbitrary power coupling ratios”, Electron Lett, 45:22 (2009), 1118–1119  crossref
9. Ferreira de Lima T, et al., “Design automation of photonic resonator weights”, Nanophotonics, 11:4–5 (2022), 49  crossref
10. Zhang D, Tan Z, “A review of optical neural networks”, Appl Sci, 12:11 (2022), 5338  crossref  mathscinet
11. Tait AN, Nahmias MA, Shastri BJ, Prucnal PR, “Broadcast and weight: An integrated network for scalable photonic spike processing”, J Lightw Technol, 32:21 (2014), 4029–4041  crossref
12. Liu J, Khan ZU, Wang C, Zhang H, Sarjoghian S, “Review of graphene modulators from the low to the high figure of merits”, J Phys D: Appl Phys, 53:23 (2020), 233002  crossref
13. Xu X, et al., “11 TOPS photonic convolutional accelerator for optical neural networks”, Nature, 589:7840 (2021), 44–51  crossref
14. Zhang H, et al., “An optical neural chip for implementing complex-valued neural network”, Nat Commun, 12:1 (2021), 457  crossref
15. Bachmann M, Besse PA, Melchior H, “General self-imaging properties in N x N multimode interference couplers including phase relations”, Appl Opt, 33:18 (1994), 3905–3911  crossref
16. Le TT, Multimode interference structures for photonic signal processing, LAP Lambert Academic Publishing, 2010
17. Bao Q, 2D Materials for photonic and optoelectronic applications, Woodhead Publishing, 2019
18. Xing P, Ooi KJA, Tan DTH, “Ultra-broadband and compact graphene-on-silicon integrated waveguide mode filters”, Sci Rep, 8:1 (2018), 9874  crossref
19. Hanson GW, “Dyadic Green's functions and guided surface waves for a surface conductivity model of graphene”, J Appl Phys, 103:6 (2008), 064302  crossref
20. Capmany J, Domenech D, Muoz P, “Silicon graphene Bragg gratings”, Opt Express, 22:5 (2014), 5283–5290  crossref
21. Chremmos I, Schwelb O, Photonic microresonator research and applications, Springer Science+Business Media LLC, New York, 2010
22. Rumley S, et al., “Optical interconnects for extreme scale computing systems”, Parallel Comput, 64 (2017), 65–80  crossref  mathscinet
23. Bangari V, et al., “Digital electronics and analog photonics for convolutional neural networks (DEAP-CNNs)”, IEEE J Sel Top Quantum Electron, 26:1 (2020), 5100209  crossref
24. Zhang W, et al., “Silicon microring synapses enable photonic deep learning beyond 9-bit precision”, Optica, 9:5 (2022), 579–584  crossref
25. Wu L, Liu H, Li J, Wang S, Qu S, Dong L, “A 130 GHz electro-optic ring modulator with double-layer grapheme”, Crystals, 7:3 (2017), 65  crossref
26. AMD Radeon$^{TM}$ Instinct$^{TM}$ MI25 Accelerator, 2022 https://www.amd.com/en/products/professional-graphics/instinct-mi25
27. NVidia. GeForce. Specifications. GeForce GTX 1080 Ti, 2022 https://www.nvidia.com/en-gb/geforce/graphics-cards/geforce-gtx-1080-ti/specifications/


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