{
  "id": "2310.20645",
  "version": "v1",
  "published": "2023-10-31T17:13:07.000Z",
  "updated": "2023-10-31T17:13:07.000Z",
  "title": "Identifying electronic transitions of defects in hexagonal boron nitride for quantum memories",
  "authors": [
    "Chanaprom Cholsuk",
    "Asli Cakan",
    "Sujin Suwanna",
    "Tobias Vogl"
  ],
  "comment": "12 pages, 6 figures",
  "categories": [
    "quant-ph",
    "cond-mat.mtrl-sci",
    "physics.app-ph"
  ],
  "abstract": "A quantum memory is a crucial keystone for enabling large-scale quantum networks. Applicable to the practical implementation, specific properties, i.e., long storage time, selective efficient coupling with other systems, and a high memory efficiency are desirable. Though many quantum memory systems have been developed thus far, none of them can perfectly meet all requirements. This work herein proposes a quantum memory based on color centers in hexagonal boron nitride (hBN), where its performance is evaluated based on a simple theoretical model of suitable defects in a cavity. Employing density functional theory calculations, 257 triplet and 211 singlet spin electronic transitions have been investigated. Among these defects, we found that some defects inherit the $\\Lambda$ electronic structures desirable for a Raman-type quantum memory and optical transitions can couple with other quantum systems. Further, the required quality factor and bandwidth are examined for each defect to achieve a 95\\% writing efficiency. Both parameters are influenced by the radiative transition rate in the defect state. In addition, inheriting triplet-singlet spin multiplicity indicates the possibility of being a quantum sensing, in particular, optically detected magnetic resonance. This work therefore demonstrates the potential usage of hBN defects as a quantum memory in future quantum networks.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2023-10-31T17:13:07.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "hexagonal boron nitride",
      "identifying electronic transitions",
      "singlet spin electronic transitions",
      "employing density functional theory calculations",
      "quantum networks"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 12,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}