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      Multipurpose self-configuration of programmable photonic circuits

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          Abstract

          Programmable integrated photonic circuits have been called upon to lead a new revolution in information systems by teaming up with high speed digital electronics and in this way, adding unique complementary features supported by their ability to provide bandwidth-unconstrained analog signal processing. Relying on a common hardware implemented by two-dimensional integrated photonic waveguide meshes, they can provide multiple functionalities by suitable programming of their control signals. Scalability, which is essential for increasing functional complexity and integration density, is currently limited by the need to precisely control and configure several hundreds of variables and simultaneously manage multiple configuration actions. Here we propose and experimentally demonstrate two different approaches towards management automation in programmable integrated photonic circuits. These enable the simultaneous handling of circuit self-characterization, auto-routing, self-configuration and optimization. By combining computational optimization and photonics, this work takes an important step towards the realization of high-density and complex integrated programmable photonics.

          Abstract

          Signal processors based on programmable photonic circuits will enable many future applications employing a common hardware platform. The authors present the architecture and two approaches to management automation to enable self-configuration and optimization of such photonic integrated circuits.

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          Deep learning with coherent nanophotonic circuits

          Programmable silicon nanophotonic processor empowers optical neural networks.
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                Author and article information

                Contributors
                dperez@iteam.upv.es
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                11 December 2020
                11 December 2020
                2020
                : 11
                : 6359
                Affiliations
                [1 ]GRID grid.157927.f, ISNI 0000 0004 1770 5832, ITEAM Research Institute, , Universitat Politècnica de València, Camino de Vera s/n, ; 46022 Valencia, Spain
                [2 ]GRID grid.157927.f, ISNI 0000 0004 1770 5832, iPronics, Programmable photonics S.L., , Universitat Politècnica de València, Camino de Vera s/n, ; 46022 Valencia, Spain
                Author information
                http://orcid.org/0000-0002-0873-205X
                http://orcid.org/0000-0003-3235-4914
                http://orcid.org/0000-0002-6460-4167
                Article
                19608
                10.1038/s41467-020-19608-w
                7733469
                33311499
                87727ad9-f005-456b-bd4f-b352131e2558
                © The Author(s) 2020

                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
                : 8 April 2020
                : 20 October 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/100010663, EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council);
                Award ID: ERC-ADG-2016-741415
                Award ID: ERC-2019-POC-859927
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100003359, Generalitat Valenciana (Regional Government of Valencia);
                Award ID: PROMETEO/2017/103
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                engineering,applied optics
                Uncategorized
                engineering, applied optics

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