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Inverse-designed diamond photonics

Author

Listed:
  • Constantin Dory

    (Stanford University)

  • Dries Vercruysse

    (Stanford University)

  • Ki Youl Yang

    (Stanford University)

  • Neil V. Sapra

    (Stanford University)

  • Alison E. Rugar

    (Stanford University)

  • Shuo Sun

    (Stanford University)

  • Daniil M. Lukin

    (Stanford University)

  • Alexander Y. Piggott

    (Stanford University)

  • Jingyuan L. Zhang

    (Stanford University)

  • Marina Radulaski

    (Stanford University
    University of California)

  • Konstantinos G. Lagoudakis

    (Stanford University
    University of Strathclyde)

  • Logan Su

    (Stanford University)

  • Jelena Vučković

    (Stanford University)

Abstract

Diamond hosts optically active color centers with great promise in quantum computation, networking, and sensing. Realization of such applications is contingent upon the integration of color centers into photonic circuits. However, current diamond quantum optics experiments are restricted to single devices and few quantum emitters because fabrication constraints limit device functionalities, thus precluding color center integrated photonic circuits. In this work, we utilize inverse design methods to overcome constraints of cutting-edge diamond nanofabrication methods and fabricate compact and robust diamond devices with unique specifications. Our design method leverages advanced optimization techniques to search the full parameter space for fabricable device designs. We experimentally demonstrate inverse-designed photonic free-space interfaces as well as their scalable integration with two vastly different devices: classical photonic crystal cavities and inverse-designed waveguide-splitters. The multi-device integration capability and performance of our inverse-designed diamond platform represents a critical advancement toward integrated diamond quantum optical circuits.

Suggested Citation

  • Constantin Dory & Dries Vercruysse & Ki Youl Yang & Neil V. Sapra & Alison E. Rugar & Shuo Sun & Daniil M. Lukin & Alexander Y. Piggott & Jingyuan L. Zhang & Marina Radulaski & Konstantinos G. Lagouda, 2019. "Inverse-designed diamond photonics," Nature Communications, Nature, vol. 10(1), pages 1-7, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11343-1
    DOI: 10.1038/s41467-019-11343-1
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    Cited by:

    1. Akter, Shahriar & Dwivedi, Yogesh K. & Sajib, Shahriar & Biswas, Kumar & Bandara, Ruwan J. & Michael, Katina, 2022. "Algorithmic bias in machine learning-based marketing models," Journal of Business Research, Elsevier, vol. 144(C), pages 201-216.
    2. Zhaoyi Li & Raphaël Pestourie & Joon-Suh Park & Yao-Wei Huang & Steven G. Johnson & Federico Capasso, 2022. "Inverse design enables large-scale high-performance meta-optics reshaping virtual reality," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

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