{"id":111352,"date":"2025-09-01T18:21:08","date_gmt":"2025-09-01T18:21:08","guid":{"rendered":"https:\/\/www.newsbeep.com\/au\/111352\/"},"modified":"2025-09-01T18:21:08","modified_gmt":"2025-09-01T18:21:08","slug":"integrated-lithium-niobate-photonic-computing-circuit-based-on-efficient-and-high-speed-electro-optic-conversion","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/au\/111352\/","title":{"rendered":"Integrated lithium niobate photonic computing circuit based on efficient and high-speed electro-optic conversion"},"content":{"rendered":"

Yao, P. et al. Fully hardware-implemented memristor convolutional neural network. Nature 577, 641\u2013646 (2020).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Wan, W. et al. A compute-in-memory chip based on resistive random-access memory. Nature 608, 504\u2013512 (2022).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Wright, L. G. et al. Deep physical neural networks trained with backpropagation. Nature 601, 549\u2013555 (2022).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Shen, Y. et al. Deep learning with coherent nanophotonic circuits. Nat. Photonics 11, 441\u2013446 (2017).<\/p>\n

ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Lin, X. et al. All-optical machine learning using diffractive deep neural networks. Science 361, 1004\u20131008 (2018).<\/p>\n

ADS<\/a>\u00a0
\n MathSciNet<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Xu, X. et al. 11 TOPS photonic convolutional accelerator for optical neural networks. Nature 589, 44\u201351 (2021).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Feldmann, J. et al. Parallel convolutional processing using an integrated photonic tensor core. Nature 589, 52\u201358 (2021).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Ashtiani, F., Geers, A. J. & Aflatouni, F. An on-chip photonic deep neural network for image classification. Nature 606, 501\u2013506 (2022).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Chen, Y. et al. All-analog photoelectronic chip for high-speed vision tasks. Nature 623, 48\u201357 (2023).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Nahmias, M. A. et al. Photonic multiply-accumulate operations for neural networks. IEEE J. Sel. Top. Quant. Electron. 26, 1\u201318 (2020).<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Wetzstein, G. et al. Inference in artificial intelligence with deep optics and photonics. Nature 588, 39\u201347 (2020).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Sui, X., Wu, Q., Liu, J., Chen, Q. & Gu, G. A review of optical neural networks. IEEE Access 8, 70773\u201370783 (2020).<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Shastri, B. J. et al. Photonics for artificial intelligence and neuromorphic computing. Nat. Photonics 15, 102\u2013114 (2021).<\/p>\n

ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Berggren, K. et al. Roadmap on emerging hardware and technology for machine learning. Nanotechnology 32, 012002 (2021).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

McMahon, P. L. The physics of optical computing. Nat. Rev. Phys. 5, 717\u2013734 (2023).<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Xu, S. et al. Optical coherent dot-product chip for sophisticated deep learning regression. Light Sci. Appl. 10, 221 (2021).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Zhang, H. et al. An optical neural chip for implementing complex-valued neural network. Nat. Commun. 12, 457 (2021).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Zhu, H. H. et al. Space-efficient optical computing with an integrated chip diffractive neural network. Nat. Commun. 13, 1044 (2022).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Zhou, T. et al. Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit. Nat. Photonics 15, 367\u2013373 (2021).<\/p>\n

ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Wang, T. et al. An optical neural network using less than 1 photon per multiplication. Nat. Commun. 13, 123 (2022).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Wang, T. et al. Image sensing with multilayer nonlinear optical neural networks. Nat. Photonics 17, 408\u2013415 (2023).<\/p>\n

ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Tait, A. N. et al. Neuromorphic photonic networks using silicon photonic weight banks. Sci. Rep. 7, 7430 (2017).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Tait, A. N. et al. Silicon photonic modulator neuron. Phys. Rev. Appl. 11, 064043 (2019).<\/p>\n

ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Huang, C. et al. A silicon photonic\u2013electronic neural network for fibre nonlinearity compensation. Nat. Electron. 4, 837\u2013844 (2021).<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Chen, Z. et al. Deep learning with coherent VCSEL neural networks. Nat. Photonics 17, 723\u2013730 (2023).<\/p>\n

ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Xu, X. et al. Photonic perceptron based on a Kerr microcomb for high-speed, scalable, optical neural networks. Laser Photonics Rev. 14, 2000070 (2020).<\/p>\n

ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Bai, B. et al. Microcomb-based integrated photonic processing unit. Nat. Commun. 14, 66 (2023).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Feldmann, J., Youngblood, N., Wright, C. D., Bhaskaran, H. & Pernice, W. H. P. All-optical spiking neurosynaptic networks with self-learning capabilities. Nature 569, 208\u2013214 (2019).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Wu, C. et al. Programmable phase-change metasurfaces on waveguides for multimode photonic convolutional neural network. Nat. Commun. 12, 96 (2021).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Zhou, H. et al. Photonic matrix multiplication lights up photonic accelerator and beyond. Light Sci. Appl. 11, 30 (2022).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Shi, B., Calabretta, N. & Stabile, R. Deep neural network through an InP SOA-based photonic integrated cross-connect. IEEE J. Sel. Top. Quantum Electron. 26, 1\u201311 (2020).<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Zhu, D. et al. Integrated photonics on thin-film lithium niobate. Adv. Opt. Photonics 13, 242 (2021).<\/p>\n

ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Hu, Y. et al. Integrated electro-optics on thin-film lithium niobate. Nat. Rev. Phys. 7, 237\u2013254 (2025).<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Wang, C. et al. Integrated lithium niobate electro-optic modulators operating at CMOS-compatible voltages. Nature 562, 101\u2013104 (2018).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

He, M. et al. High-performance hybrid silicon and lithium niobate Mach\u2013Zehnder modulators for 100 Gbit s\u22121 and beyond. Nat. Photonics 13, 359\u2013364 (2019).<\/p>\n

ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Xu, M. et al. Dual-polarization thin-film lithium niobate in-phase quadrature modulators for terabit-per-second transmission. Optica 9, 61 (2022).<\/p>\n

ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Hu, Y. et al. On-chip electro-optic frequency shifters and beam splitters. Nature 599, 587\u2013593 (2021).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Zhang, M. et al. Broadband electro-optic frequency comb generation in a lithium niobate microring resonator. Nature 568, 373\u2013377 (2019).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Hu, Y. et al. High-efficiency and broadband on-chip electro-optic frequency comb generators. Nat. Photonics 16, 679\u2013685 (2022).<\/p>\n

ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Zhu, X. et al. Twenty-nine million intrinsic Q -factor monolithic microresonators on thin-film lithium niobate. Photonics Res. 12, A63 (2024).<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Lin, Z. et al. 120 GOPS photonic tensor core in thin-film lithium niobate for inference and in situ training. Nat. Commun. 15, 9081 (2024).<\/p>\n

PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Ou, S. et al. Hypermultiplexed integrated photonics-based optical tensor processor. Sci. Adv. 11, eadu0228 (2025).<\/p>\n

PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Lecun, Y., Bottou, L., Bengio, Y. & Haffner, P. Gradient-based learning applied to document recognition. Proc. IEEE 86, 2278\u20132324 (1998).<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Krizhevsky, A. & Hinton, G. Learning Multiple Layers Of Features From Tiny Images. (University of Toronto, 2009).<\/p>\n

Kharel, P., Reimer, C., Luke, K., He, L. & Zhang, M. Breaking voltage\u2013bandwidth limits in integrated lithium niobate modulators using micro-structured electrodes. Optica 8, 357 (2021).<\/p>\n

ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

St-Arnault, C. et al. Net 3.2 Tbps 225 Gbaud PAM4 O-band IM\/DD 2 km transmission using FR8 and DR8 with a CMOS 3 nm SerDes and TFLN modulators. arXiv https:\/\/doi.org\/10.48550\/arXiv.2503.24147<\/a> (2025).<\/p>\n

Zhang, M., Wang, C., Cheng, R., Shams-Ansari, A. & Lon\u010dar, M. Monolithic ultra-high-Q lithium niobate microring resonator. Optica 4, 1536 (2017).<\/p>\n

ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Song, Y. et al. Integrated electro-optic digital-to-analog link for efficient computing and arbitrary waveform generation. arXivhttps:\/\/doi.org\/10.48550\/arXiv.2411.04395<\/a> (2024).<\/p>\n

Della Torre, A. et al. Folded electro-optical modulators operating at CMOS voltage level in a thin-film lithium niobate foundry process. Opt. Express 33, 6747 (2025).<\/p>\n

PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Wang, J. et al. Highly tunable flat-top thin-film lithium niobate electro-optic frequency comb generator with 148 comb lines. Opt. Express 33, 23431 (2025).<\/p>\n

PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Renaud, D. et al. Sub-1 volt and high-bandwidth visible to near-infrared electro-optic modulators. Nat. Commun. 14, 1496 (2023).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Xue, S. et al. Full-spectrum visible electro-optic modulator. Optica 10, 125 (2023).<\/p>\n

ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Song, Y., Hu, Y., Zhu, X., Yang, K. & Lon\u010dar, M. Octave-spanning Kerr soliton frequency combs in dispersion- and dissipation-engineered lithium niobate microresonators. Light Sci. Appl. 13, 225 (2024).<\/p>\n

PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Franken, C. A. A. et al. High-power and narrow-linewidth laser on thin-film lithium niobate enabled by photonic wire bonding. APL Photonics 10, 026107 (2025).<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Rizzo, A. et al. Massively scalable Kerr comb-driven silicon photonic link. Nat. Photonics 17, 781\u2013790 (2023).<\/p>\n

ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Chang, P.-H. et al. A 3D Integrated energy-efficient transceiver realized by direct bond interconnect of co-designed 12\u2009nm FinFET and silicon photonic integrated circuits. J. Light. Technol. 41, 6741\u20136755 (2023).<\/p>\n

ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Daudlin, S. et al. Three-dimensional photonic integration for ultra-low-energy, high-bandwidth interchip data links. Nat. Photonics 19, 502\u2013509 (2025).<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Ahmed, S. R. et al. Universal photonic artificial intelligence acceleration. Nature 640, 368\u2013374 (2025).<\/p>\n

PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Hua, S. et al. An integrated large-scale photonic accelerator with ultralow latency. Nature 640, 361\u2013367 (2025).<\/p>\n

PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Riemensberger, J. et al. Massively parallel coherent laser ranging using a soliton microcomb. Nature 581, 164\u2013170 (2020).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Zhang, X., Kwon, K., Henriksson, J., Luo, J. & Wu, M. C. A large-scale microelectromechanical-systems-based silicon photonics LiDAR. Nature 603, 253\u2013258 (2022).<\/p>\n

ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Zhu, S. et al. Integrated lithium niobate photonic millimetre-wave radar. Nat. Photonics 19, 204\u2013211 (2025).<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

O\u2019Brien, J. L., Furusawa, A. & Vu\u010dkovi\u0107, J. Photonic quantum technologies. Nat. Photonics 3, 687\u2013695 (2009).<\/p>\n

ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Kues, M. et al. Quantum optical microcombs. Nat. Photonics 13, 170\u2013179 (2019).<\/p>\n

ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Wang, J., Sciarrino, F., Laing, A. & Thompson, M. G. Integrated photonic quantum technologies. Nat. Photonics 14, 273\u2013284 (2020).<\/p>\n

ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Guo, X. et al. High-performance modified uni-traveling carrier photodiode integrated on a thin-film lithium niobate platform. Photonics Res. 10, 1338 (2022).<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Hamerly, R., Bernstein, L., Sludds, A., Solja\u010di\u0107, M. & Englund, D. Large-Scale Optical Neural Networks Based on Photoelectric Multiplication. Phys. Rev. X 9, 021032 (2019).<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n","protected":false},"excerpt":{"rendered":"Yao, P. et al. Fully hardware-implemented memristor convolutional neural network. Nature 577, 641\u2013646 (2020). ADS\u00a0 PubMed\u00a0 Google Scholar\u00a0…\n","protected":false},"author":2,"featured_media":111353,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[64,63,257,1320,35604,79594,1321,128,105],"class_list":{"0":"post-111352","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-computing","8":"tag-au","9":"tag-australia","10":"tag-computing","11":"tag-humanities-and-social-sciences","12":"tag-integrated-optics","13":"tag-microwave-photonics","14":"tag-multidisciplinary","15":"tag-science","16":"tag-technology"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/111352","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/comments?post=111352"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/111352\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media\/111353"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media?parent=111352"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/categories?post=111352"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/tags?post=111352"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}