摘要
Point defect qubits in semiconductors have demonstrated their outstanding capabilities for high spatial resolution sensing generating broad multidisciplinary interest.Hexagonal boron nitride(hBN)hosting point defect qubits have recently opened up new horizons for quantum sensing by implementing sensing foils.The sensitivity of point defect sensors in hBN is currently limited by the linewidth of the magnetic resonance signal,which is broadened due to strong hyperfine couplings.
基金
supported by the National Research,Development,and Innovation Office of Hungary within the Quantum Information National Laboratory of Hungary(Grant No.2022-2.1.1-NL-2022-00004)and within grants FK 135496 and FK 145395
We acknowledge support from the Knut and Alice Wallenberg Foundation through WBSQD2 project(Grant No.2018.0071)
Support from the Swedish Government Strategic Research Area SeRC and the Swedish Government Strategic Research Area in Materials Science on Functional Materials at Linköping University(FacultyGrant SFO-Mat-LiUNo.200900971)is gratefully acknowledged
A.G.acknowledges the support from the European Commission for the project QuMicro(Grant No.101046911)and SPINUS(Grant No.101135699)
Ö.L.acknowledges financial support from the Hungarian National Research,Development and Innovation Office(NKFIH)through Grants No.K134983,TKP2021-NVA-04,Quantum Information National Laboratory of Hungary,the Hans Fischer Senior Fellowship programme funded by the Technical University of Munich Institute for Advanced Study,and by the Center for Scalable and Predictive methods for Excitation and Correlated phenomena(SPEC),funded as part of the Computational Chemical Sciences Program FWP 70942
by the U.S.Department of Energy(DOE),Office of Science,Office of Basic Energy Sciences,Division of Chemical Sciences,Geosciences,and Biosciences at Pacific Northwest National Laboratory
A.P.and G.T.were supported by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences.G.T.also acknowledges theÚNKP-20-5 New National Excellence Program for Ministry Innovation and Technology fromthe source of the National Research,Development and Innovation Fund
The computations were enabled by resources provided by the National Academic Infrastructure for Supercomputing in Sweden(NAISS)and the Swedish National Infrastructure for Computing(SNIC)at the National Supercomputer Centre(NSC)partially funded by the Swedish Research Council through grant agreements no.2022-06725 and no.2018-05973.
