Vsevolod Ivanov1,Alexander Ivanov2,Jacopo Simoni1,Prabin Parajuli1,Thomas Schenkel1,Liang Tan1
Lawrence Berkeley National Laboratory1,Brown University2
Vsevolod Ivanov1,Alexander Ivanov2,Jacopo Simoni1,Prabin Parajuli1,Thomas Schenkel1,Liang Tan1
Lawrence Berkeley National Laboratory1,Brown University2
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.<br/><br/>This work was supported by the Office of Fusion Energy Sciences and the Molecular Foundry, a DOE Office of Science User Facility, supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.