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      Integrated avalanche photodetectors for visible light

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          Abstract

          Integrated photodetectors are essential components of scalable photonics platforms for quantum and classical applications. However, most efforts in the development of such devices to date have been focused on infrared telecommunications wavelengths. Here, we report the first monolithically integrated avalanche photodetector (APD) for visible light. Our devices are based on a doped silicon rib waveguide with a novel end-fire input coupling to a silicon nitride waveguide. We demonstrate a high gain-bandwidth product of 234 ± 25 GHz at 20 V reverse bias measured for 685 nm input light, with a low dark current of 0.12 μA. We also observe open eye diagrams at up to 56 Gbps. This performance is very competitive when benchmarked against other integrated APDs operating in the infrared range. With CMOS-compatible fabrication and integrability with silicon photonic platforms, our devices are attractive for sensing, imaging, communications, and quantum applications at visible wavelengths.

          Abstract

          Integrated photodetectors are essential for scalable photonic platforms, yet most efforts are concerted on the developing devices operating at infrared telecommunication wavelengths. Here, the authors report a monolithically integrated avalanche photodetector for visible light based on doped-Si rib waveguide with end-fire input coupling to a silicon nitride waveguide.

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          Quantum computational advantage using photons.

          Quantum computers promise to perform certain tasks that are believed to be intractable to classical computers. Boson sampling is such a task and is considered a strong candidate to demonstrate the quantum computational advantage. We performed Gaussian boson sampling by sending 50 indistinguishable single-mode squeezed states into a 100-mode ultralow-loss interferometer with full connectivity and random matrix-the whole optical setup is phase-locked-and sampling the output using 100 high-efficiency single-photon detectors. The obtained samples were validated against plausible hypotheses exploiting thermal states, distinguishable photons, and uniform distribution. The photonic quantum computer, Jiuzhang, generates up to 76 output photon clicks, which yields an output state-space dimension of 1030 and a sampling rate that is faster than using the state-of-the-art simulation strategy and supercomputers by a factor of ~1014.
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                Author and article information

                Contributors
                victor_leong@imre.a-star.edu.sg
                ongjr@ihpc.a-star.edu.sg
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                23 March 2021
                23 March 2021
                2021
                : 12
                : 1834
                Affiliations
                [1 ]GRID grid.418788.a, ISNI 0000 0004 0470 809X, Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), ; Singapore, Singapore
                [2 ]GRID grid.59025.3b, ISNI 0000 0001 2224 0361, School of Electrical and Electronic Engineering, , Nanyang Technological University, ; Singapore, Singapore
                [3 ]GRID grid.418742.c, ISNI 0000 0004 0470 8006, Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), ; Singapore, Singapore
                [4 ]GRID grid.452277.1, ISNI 0000 0004 0620 774X, Institute of Microelectronics, Agency for Science, Technology and Research (A*STAR), ; Singapore, Singapore
                [5 ]Advanced Micro Foundry, Singapore, Singapore
                [6 ]Present Address: Advanced Micro Foundry, Singapore, Singapore
                Author information
                http://orcid.org/0000-0003-0485-2932
                http://orcid.org/0000-0003-3672-2235
                http://orcid.org/0000-0002-7488-3454
                http://orcid.org/0000-0001-5891-6212
                http://orcid.org/0000-0002-7797-1863
                http://orcid.org/0000-0001-8757-9200
                Article
                22046
                10.1038/s41467-021-22046-x
                7988121
                33758190
                6315fb07-7883-4701-a470-761b1ff7863e
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 3 September 2020
                : 24 February 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001348, Agency for Science, Technology and Research (A*STAR);
                Funded by: FundRef https://doi.org/10.13039/501100001381, National Research Foundation Singapore (National Research Foundation-Prime Minister’s office, Republic of Singapore);
                Award ID: NRF-CRP14- 2014-04
                Award ID: NRF-CRP14- 2014-04
                Award ID: NRF-CRP14- 2014-04
                Award ID: NRF-CRP14- 2014-04
                Award ID: NRF-CRP14- 2014-04
                Award ID: NRF-CRP14- 2014-04
                Award Recipient :
                Funded by: National Research Foundation Singapore (National Research Foundation-Prime Minister’s office, Republic of Singapore)
                Funded by: National Research Foundation Singapore (National Research Foundation-Prime Minister’s office, Republic of Singapore)
                Funded by: National Research Foundation Singapore (National Research Foundation-Prime Minister’s office, Republic of Singapore)
                Funded by: National Research Foundation Singapore (National Research Foundation-Prime Minister’s office, Republic of Singapore)
                Funded by: National Research Foundation Singapore (National Research Foundation-Prime Minister’s office, Republic of Singapore)
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                nanophotonics and plasmonics,nanosensors,integrated optics
                Uncategorized
                nanophotonics and plasmonics, nanosensors, integrated optics

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