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Anthony Rizzo

Assistant Professor of Engineering

anthony.j.rizzo@dartmouth.edu

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Heterogeneously integrated electronic-photonic data communication system is shown next to a US dime for scale. The electronic die is flip-chip bonded to the photonic die using copper pillar microbumps at 25 micron pitch, forming a total of 2,304 electrical connections between the two chips. The electronic-photonic engine is much smaller than a human fingernail but can transmit over 800 gigabits per second of data with an energy consumption of only 120 femtojoules per bit.

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Overview

Professor Rizzo completed his doctoral research under Prof. Keren Bergman in the Lightwave Research Laboratory at Columbia University and received his PhD in 2022. During this time, he investigated integrated photonic systems for ultra-low energy, ultra-high bandwidth optical interconnects under the DARPA PIPES and ARPA-E ENLITENED programs. This work resulted in the first demonstration of a Kerr comb-driven silicon photonic link for massively scalable wavelength-division multiplexed co-packaged optical interconnects. After receiving his PhD, he joined the Air Force Research Laboratory (AFRL) Information Directorate as a research scientist where his work has focused on integrated photonics for quantum networking, quantum computation, and quantum sensing. He will join the Dartmouth Engineering faculty as an assistant professor starting in January 2025.

Research Interests

Integrated photonics; silicon photonics; large-scale photonic systems; nonlinear photonics; neuromorphic photonics; quantum photonics; quantum computation; quantum communication; quantum sensing

Education

  • BS, Physics, Haverford College 2017
  • MS, Electrical Engineering, Columbia University 2019
  • PhD, Electrical Engineering, Columbia University 2022

Selected Publications

  • A. Rizzo, A. Novick, V. Gopal, B.Y. Kim, X. Ji, S. Daudlin, Y. Okawachi, Q. Cheng, M. Lipson, A.L. Gaeta, and K. Bergman, "Massively scalable Kerr comb-driven silicon photonic link," Nat. Photonics 17(9), 781–790 (2023).
  • A. Rizzo, S. Daudlin, A. Novick, A. James, V. Gopal, V. Murthy, Q. Cheng, B.Y. Kim, X. Ji, Y. Okawachi, M. Van Niekerk, V. Deenadayalan, G. Leake, M. Fanto, S. Preble, M. Lipson, A. Gaeta, and K. Bergman, "Petabit-Scale Silicon Photonic Interconnects With Integrated Kerr Frequency Combs," IEEE J. Sel. Top. Quantum Electron. 29(1), 1–20 (2023).
  • A. Rizzo, U. Dave, A. Novick, A. Freitas, S.P. Roberts, A. James, M. Lipson, and K. Bergman, "Fabrication-robust silicon photonic devices in standard sub-micron silicon-on-insulator processes," Opt. Lett. 48(2), 215 (2023).
  • A. Rizzo, Q. Cheng, S. Daudlin, and K. Bergman, "Ultra-Broadband Interleaver for Extreme Wavelength Scaling in Silicon Photonic Links," IEEE Photonics Technol. Lett. 33(1), 55–58 (2021).
  • S. Daudlin, A. Rizzo, S. Lee, D. Khilwani, C. Ou, S. Wang, A. Novick, V. Gopal, M. Cullen, R. Parsons, A. Molnar, and K. Bergman, "3D photonics for ultra-low energy, high bandwidth-density chip data links," arXiv:2310.01615 (2023).
  • A. James, A. Novick, A. Rizzo, R. Parsons, K. Jang, M. Hattink, and K. Bergman, "Scaling comb-driven resonator-based DWDM silicon photonic links to multi-Tb/s in the multi-FSR regime," Optica 10(7), 832 (2023).
  • M. Van Niekerk, A. Rizzo, H. Rubio, G. Leake, D. Coleman, C. Tison, M. Fanto, K. Bergman, and S. Preble, "Massively scalable wavelength diverse integrated photonic linear neuron," Neuromorphic Comput. Eng. 2(3), 034012 (2022).
  • A. James, A. Rizzo, Y. Wang, A. Novick, S. Wang, R. Parsons, K. Jang, M. Hattink, and K. Bergman, "Process Variation-Aware Compact Model of Strip Waveguides for Photonic Circuit Simulation," J. Light. Technol. 41(9), 2801–2814 (2023).