Nuclear Spin Assisted Magnetic Field Angle Sensing
Autor: | Assaf Hamo, Ziwei Qiu, Amir Yacoby, Uri Vool |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Coherence time
Computer Networks and Communications Magnetometer QC1-999 FOS: Physical sciences Applied Physics (physics.app-ph) 02 engineering and technology Electron Quantum entanglement 01 natural sciences Noise (electronics) law.invention law Mesoscale and Nanoscale Physics (cond-mat.mes-hall) 0103 physical sciences Computer Science (miscellaneous) 010306 general physics Physics Quantum Physics Spins Condensed matter physics Condensed Matter - Mesoscale and Nanoscale Physics Quantum sensor Statistical and Nonlinear Physics QA75.5-76.95 Physics - Applied Physics 021001 nanoscience & nanotechnology Magnetic field Computational Theory and Mathematics Electronic computers. Computer science Quantum Physics (quant-ph) 0210 nano-technology |
Zdroj: | npj Quantum Information, Vol 7, Iss 1, Pp 1-7 (2021) |
Popis: | Quantum sensing exploits the strong sensitivity of quantum systems to measure small external signals. The nitrogen-vacancy (NV) center in diamond is one of the most promising platforms for real-world quantum sensing applications, predominantly used as a magnetometer. However, its magnetic field sensitivity vanishes when a bias magnetic field acts perpendicular to the NV axis. Here, we introduce a novel sensing strategy assisted by the nitrogen nuclear spin that uses the entanglement between the electron and nuclear spins to restore the magnetic field sensitivity. This, in turn, allows us to detect small changes in the magnetic field angle relative to the NV axis. Furthermore, based on the same underlying principle, we show that the NV coupling strength to magnetic noise, and hence its coherence time, exhibits a strong asymmetric angle dependence. This allows us to uncover the directional properties of the local magnetic environment and to realize maximal decoupling from anisotropic noise. 15 pages, 4 figures in main text + 11 pages, 8 figures in supplementary information |
Databáze: | OpenAIRE |
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