Isotope Engineering for Spin Defects in hexagonal boron nitride

ORAL

Abstract

Spin defects in layered van der Waals materials, such as hexagonal boron nitride (hBN), are increasingly gaining attention for their potential in quantum technological applications. In this study, we employ isotope engineering to notably enhance the coherence properties of these embedded spin defects. By employing isotopically enriched h10B15N crystals, we have realized clear enhancements in spin transitions related to the negatively charged boron vacancy centers (VB-). In direct comparison with naturally isotopic hBN, our material shows transitions that are both narrower and less overlapped. This leads to an improvement in both coherence time T2 and relaxation time T1. As a result, the VB- defects in our engineered samples exhibit enhancements of up to 4 times in DC and twice in AC magnetic field sensitivities. Our results highlight the utility of VB- defects in our isotopically pure hBN over the conventional naturally abundant ones for sensing applications, and also point to the potential of this material in creating multi-qubit quantum registers, thanks to the individual addressability of its electronic and nuclear spins. The methodology of isotope engineering adopted in this study is not limited to hBN but more broadly in the van der Waals materials family.

* This work is supported by the Startup Fund, the Center for Quantum Leaps, the Institute of Materials Science and Engineering, and the OVCR Seed Grant from Washington University. T.Li acknowledges support from Gordon and Betty Moore Foundation. V.Liu, B.Ye, and N.Y.Yao acknowledge support from the U.S. Department of Energy through BES grant no. DE-SC0019241 and through the DOE Office of Science, Office of Basic Energy Sciences, Materials Sciences and Engineering Division and the Division of Chemical Sciences, Geosciences and Biosciences at LBNL under Contract no. DE-AC02-05-CH11231. Support of E.Janzen and J.H.Edgar for hBN crystal growth is provided by the Office of Naval Research, award number N00014-22-1-2582. E.A.Henriksen acknowledges support from NSF CAREER DMR-1945278 and AFOSR/ONR DEPSCOR no. FA9550-22-1-0340.

Publication: https://arxiv.org/abs/2307.06441

Presenters

  • Xinyi Du

    Washington University, St. Louis, Washington University in St. Louis

Authors

  • Xinyi Du

    Washington University, St. Louis, Washington University in St. Louis

  • Ruotian Gong

    Washington University in St. Louis

  • Eli Janzen

    Kansas State University

  • Vincent Liu

    Harvard University

  • Zhongyuan Liu

    Washington University in st. louis

  • Guanghui He

    Washington University in St. Louis

  • Bingtian Ye

    Harvard University

  • Tongcang Li

    Purdue University

  • Norman Y Yao

    Harvard University, University of California, Berkeley, Harvard

  • James H Edgar

    Kansas State University

  • James H Edgar

    Kansas State University

  • Erik Henriksen

    Washington University, St. Louis

  • Chong Zu

    Washington University in St. Louis