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High-throughput identification of spin-photon interfaces in silicon.

Yihuang Xiong1, Céline Bourgois1,2, Natalya Sheremetyeva1

  • 1Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA.

Science Advances
|October 4, 2023
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Summary

Researchers computationally screened over 1000 silicon defects to find optimal spin-photon interfaces for quantum technology. Three promising candidates were identified as bright emitters in the telecom band, advancing quantum information science.

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Area of Science:

  • Quantum Information Science
  • Materials Science
  • Solid-State Physics

Background:

  • Color centers in semiconductors are crucial for developing spin-photon interfaces for quantum applications.
  • Identifying suitable silicon-based spin-photon interfaces is key for advancing quantum information technologies.
  • The vast number of potential charged defects makes experimental identification challenging.

Purpose of the Study:

  • To computationally screen over 1000 charged defects in silicon for promising spin-photon interfaces.
  • To identify novel quantum defects in silicon suitable for quantum information applications.
  • To discover bright emitters in the telecom band for quantum communication.

Main Methods:

  • Utilized high-throughput first-principles computational screening.
  • Employed a single-shot hybrid functional approach for accurate defect characterization.
  • Analyzed over 1000 charged defects in silicon.

Main Results:

  • Identified three promising spin-photon interfaces in silicon: [Formula: see text], [Formula: see text], and [Formula: see text].
  • These defects function as potential bright emitters in the telecom band.
  • Defect-bound excitons are key excitation mechanisms for these telecom band operations.

Conclusions:

  • The identified defects represent significant advancements for silicon-based quantum information technologies.
  • Computational screening is an effective strategy for discovering quantum defects in semiconductors.
  • This work enables future large-scale computational searches for quantum defects.