Multi-dimensional data transmission using inverse-designed silicon photonics and microcombs

Ki Youl Yang, Chinmay Shirpurkar, Alexander D. White, Jizhao Zang, Lin Chang, Farshid Ashtiani, Melissa A. Guidry, Daniil M. Lukin, Srinivas V. Pericherla, Joshua Yang, Hyounghan Kwon, Jesse Lu, Geun Ho Ahn, Kasper Van Gasse, Yan Jin, Su-Peng Yu, Travis C. Briles, Jordan R. Stone, David R. Carlson, Hao Song, Kaiheng Zou, Huibin Zhou, Kai Pang, Han Hao, Lawrence Trask, Mingxiao Li, Andy Netherton, Lior Rechtman, Jeffery S. Stone, Jinhee L. Skarda, Logan Su, Dries Vercruysse, Jean-Philippe W. MacLean, Shahriar Aghaeimeibodi, Ming-Jun Li, David A. B. Miller, Dan M. Marom, Alan E. Willner, John E. Bowers, Scott B. Papp, Peter J. Delfyett, Firooz Aflatouni and Jelena Vučković ()
Additional contact information
Ki Youl Yang: E.L.Ginzton Laboratory, Stanford University
Chinmay Shirpurkar: The College of Optics and Photonics, University of Central Florida
Alexander D. White: E.L.Ginzton Laboratory, Stanford University
Jizhao Zang: Time and Frequency Division, National Institute of Standards and Technology
Lin Chang: University of California
Farshid Ashtiani: University of Pennsylvania
Melissa A. Guidry: E.L.Ginzton Laboratory, Stanford University
Daniil M. Lukin: E.L.Ginzton Laboratory, Stanford University
Srinivas V. Pericherla: The College of Optics and Photonics, University of Central Florida
Joshua Yang: E.L.Ginzton Laboratory, Stanford University
Hyounghan Kwon: E.L.Ginzton Laboratory, Stanford University
Jesse Lu: E.L.Ginzton Laboratory, Stanford University
Geun Ho Ahn: E.L.Ginzton Laboratory, Stanford University
Kasper Van Gasse: E.L.Ginzton Laboratory, Stanford University
Yan Jin: Time and Frequency Division, National Institute of Standards and Technology
Su-Peng Yu: Time and Frequency Division, National Institute of Standards and Technology
Travis C. Briles: Time and Frequency Division, National Institute of Standards and Technology
Jordan R. Stone: Time and Frequency Division, National Institute of Standards and Technology
David R. Carlson: Time and Frequency Division, National Institute of Standards and Technology
Hao Song: University of Southern California
Kaiheng Zou: University of Southern California
Huibin Zhou: University of Southern California
Kai Pang: University of Southern California
Han Hao: University of Pennsylvania
Lawrence Trask: The College of Optics and Photonics, University of Central Florida
Mingxiao Li: University of California
Andy Netherton: University of California
Lior Rechtman: The Hebrew University of Jerusalem
Jeffery S. Stone: Corning Incorporated
Jinhee L. Skarda: E.L.Ginzton Laboratory, Stanford University
Logan Su: E.L.Ginzton Laboratory, Stanford University
Dries Vercruysse: E.L.Ginzton Laboratory, Stanford University
Jean-Philippe W. MacLean: E.L.Ginzton Laboratory, Stanford University
Shahriar Aghaeimeibodi: E.L.Ginzton Laboratory, Stanford University
Ming-Jun Li: Corning Incorporated
David A. B. Miller: E.L.Ginzton Laboratory, Stanford University
Dan M. Marom: The Hebrew University of Jerusalem
Alan E. Willner: Octave Photonics
John E. Bowers: University of California
Scott B. Papp: Time and Frequency Division, National Institute of Standards and Technology
Peter J. Delfyett: The College of Optics and Photonics, University of Central Florida
Firooz Aflatouni: University of Pennsylvania
Jelena Vučković: E.L.Ginzton Laboratory, Stanford University

Nature Communications, 2022, vol. 13, issue 1, 1-9

Abstract: Abstract The use of optical interconnects has burgeoned as a promising technology that can address the limits of data transfer for future high-performance silicon chips. Recent pushes to enhance optical communication have focused on developing wavelength-division multiplexing technology, and new dimensions of data transfer will be paramount to fulfill the ever-growing need for speed. Here we demonstrate an integrated multi-dimensional communication scheme that combines wavelength- and mode- multiplexing on a silicon photonic circuit. Using foundry-compatible photonic inverse design and spectrally flattened microcombs, we demonstrate a 1.12-Tb/s natively error-free data transmission throughout a silicon nanophotonic waveguide. Furthermore, we implement inverse-designed surface-normal couplers to enable multimode optical transmission between separate silicon chips throughout a multimode-matched fibre. All the inverse-designed devices comply with the process design rules for standard silicon photonic foundries. Our approach is inherently scalable to a multiplicative enhancement over the state of the art silicon photonic transmitters.

Date: 2022
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Citations: View citations in EconPapers (2)

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DOI: 10.1038/s41467-022-35446-4

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