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      Perfect linear optics using silicon photonics

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          Abstract

          Recently there has been growing interest in using photonics to perform the linear algebra operations of neuromorphic and quantum computing applications, aiming at harnessing silicon photonics’ (SiPho) high-speed and energy-efficiency credentials. Accurately mapping, however, a matrix into optics remains challenging, since state-of-the-art optical architectures are sensitive to fabrication imperfections. This leads to reduced fidelity that degrades as the insertion losses of the optical matrix nodes or the matrix dimensions increase. In this work, we present the experimental deployment of a 4 × 4 coherent crossbar (Xbar) as a silicon chip and validate experimentally its theoretically predicted fidelity restoration credentials. We demonstrate the experimental implementation of 10,000 arbitrary linear transformations achieving a record-high fidelity of 99.997% ± 0.002, limited mainly by the measurement equipment. Our work represents an integrated optical circuit providing almost unity and loss-independent fidelity in the realization of arbitrary matrices, highlighting light’s credentials in resolving complex computations.

          Abstract

          The Authors demonstrate a fidelity-restorable universal integrated linear optical circuit that relies on a novel 4 × 4 silicon photonic crossbar architecture. Its experimental characterization yields a fidelity of 99.93 ± 0.06%, calculated over 10,000 matrices.

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          Deep learning with coherent nanophotonic circuits

          Programmable silicon nanophotonic processor empowers optical neural networks.
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            Parallel convolutional processing using an integrated photonic tensor core

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              Programmable photonic circuits

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                Author and article information

                Contributors
                mmoralis@csd.auth.gr
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                27 June 2024
                27 June 2024
                2024
                : 15
                : 5468
                Affiliations
                [1 ]Department of Informatics, Aristotle University of Thessaloniki, ( https://ror.org/02j61yw88) 54124 Thessaloniki, Greece
                [2 ]Celestial AI, 2962 Bunker Hill Ln, Suite 200, Santa Clara, CA 95054 USA
                Author information
                http://orcid.org/0000-0002-9401-730X
                http://orcid.org/0000-0002-6406-9723
                Article
                49768
                10.1038/s41467-024-49768-y
                11211446
                38937494
                76bb1e5b-c80d-48c4-b25f-f307cd15842c
                © The Author(s) 2024

                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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 31 July 2023
                : 12 June 2024
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100000780, European Commission (EC);
                Award ID: 871391
                Award ID: 779664
                Award ID: 101120938
                Award Recipient :
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2024

                Uncategorized
                integrated optics,transformation optics
                Uncategorized
                integrated optics, transformation optics

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