Identifying electronic transitions of defects in hexagonal boron nitride for quantum memories

• URL: http://arxiv.org/abs/2310.20645v2
• Date: Mon, 22 Jan 2024 14:55:25 GMT
• Title: Identifying electronic transitions of defects in hexagonal boron nitride for quantum memories
• Authors: Chanaprom Cholsuk, Asli Cakan, Sujin Suwanna, Tobias Vogl
• Abstract summary: A quantum memory is a crucial keystone for enabling large-scale quantum networks. This work proposes a quantum memory based on color centers in hexagonal boron nitride (hBN) It is found that some defects inherit the $Lambda$ electronic structures desirable for a Raman-type quantum memory.
• Score: 0.6827423171182154
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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 are 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 are investigated. Among these defects, it is 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.

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