Database of Computed Properties for Color Center Defects in Silicon

ORAL

Abstract

Color center defects in silicon are emerging as a promising platform for realizing a number of

applications in quantum information science (QIS), including quantum sensing, single-photon sources,

and integrated quantum communication between quantum computer nodes. Several well-studied

defects such as the G-center, W-center, and T-center, possess some of the necessary attributes for these

applications, including narrow linewidths, emission in the telecommunications band, long electron spin

coherence times, and coupling between spin and optical degrees of freedom. Despite this, no known

defect is perfectly suitable for QIS applications, and in fact different devices can require defects with

expressly distinct sets of properties. We report the publication of a searchable online quantum defect

database containing the computed properties of over 5000 distinct silicon defect structures. Formation

energies, defect energy levels, ground and excited spin states, zero phonon lines, and electric dipole

matrix elements are provided for each defect, which are then used to screen for candidate defects with

emission within the telecommunications band, non-trivial spin state, and strong optical coupling.

Additionally, a machine learning approach is applied to predict defect properties directly from structural

data.

*This work was supported by the Office of Fusion Energy Sciences and the Molecular Foundry, a DOEOffice of Science User Facility, supported by the Office of Science of the U.S. Department of Energyunder Contract No. DE-AC02-05CH11231.

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Presenters

  • Vsevolod Ivanov

    • Lawrence Berkeley National Lab
    • Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
    • Lawrence Berkeley National Laboratory

Authors

  • Vsevolod Ivanov

    • Lawrence Berkeley National Lab
    • Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
    • Lawrence Berkeley National Laboratory

  • Alexander Ivanov

    • Brown University

  • Jacopo Simoni

    • Lawrence Berkeley National Laboratory
    • Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA

  • Prabin Parajuli

    • University of California, Merced

  • Liang Tan

    • Lawrence Berkeley National Laboratory
    • Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
    • Lawrence Berkeley National Laboratory,USA

  • Thomas Schenkel

    • Lawrence Berkeley National Laboratory
    • Accelerator Technology and Applied Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA