Nanoscale Vector dc Magnetometry via Ancilla-Assisted Frequency Up-Conversion
Sensing static magnetic fields with high sensitivity and spatial resolution is critical to many applications in fundamental physics, bioimaging, and materials science. Even more beneficial would be full vector magnetometry with nanoscale spatial resolution. Several versatile magnetometry platforms h...
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American Physical Society
2019
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Online Access: | http://hdl.handle.net/1721.1/120967 https://orcid.org/0000-0001-7798-1028 https://orcid.org/0000-0003-0544-5263 https://orcid.org/0000-0003-3207-594X |
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author | Liu, Yixiang Ajoy, Ashok Cappellaro, Paola |
author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Liu, Yixiang Ajoy, Ashok Cappellaro, Paola |
author_sort | Liu, Yixiang |
collection | MIT |
description | Sensing static magnetic fields with high sensitivity and spatial resolution is critical to many applications in fundamental physics, bioimaging, and materials science. Even more beneficial would be full vector magnetometry with nanoscale spatial resolution. Several versatile magnetometry platforms have emerged over the past decade, such as electronic spins associated with nitrogen vacancy (NV) centers in diamond. Achieving vector magnetometry has, however, often required using an ensemble of sensors or degrading the sensitivity. Here we introduce a hybrid magnetometry platform, consisting of a sensor and an ancillary qubit, that allows vector magnetometry of static fields. While more generally applicable, we demonstrate the method for an electronic NV sensor and a nuclear spin qubit. In particular, sensing transverse fields relies on frequency up-conversion of the dc fields through the ancillary qubit, allowing quantum lock-in detection with low-frequency noise rejection. In combination with the Ramsey detection of longitudinal fields, our frequency up-conversion scheme delivers a sensitive technique for vector dc magnetometry at the nanoscale. |
first_indexed | 2024-09-23T11:46:32Z |
format | Article |
id | mit-1721.1/120967 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T11:46:32Z |
publishDate | 2019 |
publisher | American Physical Society |
record_format | dspace |
spelling | mit-1721.1/1209672022-10-01T05:57:29Z Nanoscale Vector dc Magnetometry via Ancilla-Assisted Frequency Up-Conversion Liu, Yixiang Ajoy, Ashok Cappellaro, Paola Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Department of Nuclear Science and Engineering Massachusetts Institute of Technology. Research Laboratory of Electronics Liu, Yixiang Ajoy, Ashok Cappellaro, Paola Sensing static magnetic fields with high sensitivity and spatial resolution is critical to many applications in fundamental physics, bioimaging, and materials science. Even more beneficial would be full vector magnetometry with nanoscale spatial resolution. Several versatile magnetometry platforms have emerged over the past decade, such as electronic spins associated with nitrogen vacancy (NV) centers in diamond. Achieving vector magnetometry has, however, often required using an ensemble of sensors or degrading the sensitivity. Here we introduce a hybrid magnetometry platform, consisting of a sensor and an ancillary qubit, that allows vector magnetometry of static fields. While more generally applicable, we demonstrate the method for an electronic NV sensor and a nuclear spin qubit. In particular, sensing transverse fields relies on frequency up-conversion of the dc fields through the ancillary qubit, allowing quantum lock-in detection with low-frequency noise rejection. In combination with the Ramsey detection of longitudinal fields, our frequency up-conversion scheme delivers a sensitive technique for vector dc magnetometry at the nanoscale. National Science Foundation (U.S.) (Grant PHY1734011) United States. Army Research Office (Grant W911NF-11-1- 0400) United States. Army Research Office (Grant W911NF-15-1-0548) 2019-03-14T19:06:28Z 2019-03-14T19:06:28Z 2019-03 2018-07 2019-03-14T18:00:28Z Article http://purl.org/eprint/type/JournalArticle 0031-9007 1079-7114 http://hdl.handle.net/1721.1/120967 Liu, Yi-Xiang et al. "Nanoscale Vector dc Magnetometry via Ancilla-Assisted Frequency Up-Conversion." Physical Review Letters 122, 10 (March 2019): 100501 © 2019 American Physical Society https://orcid.org/0000-0001-7798-1028 https://orcid.org/0000-0003-0544-5263 https://orcid.org/0000-0003-3207-594X en http://dx.doi.org/10.1103/PhysRevLett.122.100501 Physical Review Letters Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. American Physical Society application/pdf American Physical Society American Physical Society |
spellingShingle | Liu, Yixiang Ajoy, Ashok Cappellaro, Paola Nanoscale Vector dc Magnetometry via Ancilla-Assisted Frequency Up-Conversion |
title | Nanoscale Vector dc Magnetometry via Ancilla-Assisted Frequency Up-Conversion |
title_full | Nanoscale Vector dc Magnetometry via Ancilla-Assisted Frequency Up-Conversion |
title_fullStr | Nanoscale Vector dc Magnetometry via Ancilla-Assisted Frequency Up-Conversion |
title_full_unstemmed | Nanoscale Vector dc Magnetometry via Ancilla-Assisted Frequency Up-Conversion |
title_short | Nanoscale Vector dc Magnetometry via Ancilla-Assisted Frequency Up-Conversion |
title_sort | nanoscale vector dc magnetometry via ancilla assisted frequency up conversion |
url | http://hdl.handle.net/1721.1/120967 https://orcid.org/0000-0001-7798-1028 https://orcid.org/0000-0003-0544-5263 https://orcid.org/0000-0003-3207-594X |
work_keys_str_mv | AT liuyixiang nanoscalevectordcmagnetometryviaancillaassistedfrequencyupconversion AT ajoyashok nanoscalevectordcmagnetometryviaancillaassistedfrequencyupconversion AT cappellaropaola nanoscalevectordcmagnetometryviaancillaassistedfrequencyupconversion |