Published October 13, 2023 | Published
Journal Article Open

Optimal Sensing Protocol for Statistically Polarized Nano-NMR with NV Centers

Abstract

Diffusion noise represents a major constraint to successful liquid state nano-NMR spectroscopy. Using the Fisher information as a faithful measure, we theoretically calculate and experimentally show that phase sensitive protocols are superior in most experimental scenarios, as they maximize information extraction from correlations in the sample. We derive the optimal experimental parameters for quantum heterodyne detection (Qdyne) and present the most accurate statistically polarized nano-NMR Qdyne detection experiments to date, leading the way to resolve chemical shifts and J couplings at the nanoscale.

Copyright and License

© 2023 American Physical Society.

Acknowledgement

S. O. C. acknowledges support from the Fundación Ramón Areces Postdoctoral Fellowship (XXXI edition of grants for Postgraduate Studies in Life and Matter Sciences in Foreign Universities and Research Centres) and the María Zambrano Fellowship. A. V. S. acknowledges support from the European Union's Horizon 2020 Research and Innovation Program under the Marie Skłodowska-Curie Grant Agreement No. 766402. N. S. acknowledges support from the Bosch-Forschungsstiftung. D. C. acknowledges the support of the Clore Scholars Programme and the Clore Israel Foundation. This work was supported by the European Union's Horizon 2020 Research and Innovation Program under Grant Agreement No. 820394 (ASTERIQS), DFG (CRC 1279 and Excellence cluster POLiS), ERC Synergy Grant HyperQ (Grant No. 856432), BMBF and VW Stiftung. A. R. acknowledges the support of ERC Grant QRES, Project No. 770929, Grant Agreement No. 667192 (Hyperdiamond), ISF and the Schwartzmann university chair. F. J. acknowledges the support from the European Union projects QuMicro (Grant No. 101046911), QCIRCLE (Grant No. 101059999), C-QuENS (Grant No. 10113535) and the Carl Zeiss Stiftung. We thank Dan Gluck for a useful discussion regarding our statistical analysis.

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Additional details

Created:
October 16, 2023
Modified:
October 16, 2023