Massively Multiplexed Nanoscale Magnetometry with Diamond Quantum Sensors
ORAL
Abstract
Single nitrogen vacancy (NV) centers in diamond have been used extensively for high-sensitivity nanoscale sensing, but conventional approaches use confocal microscopy to measure individual centers sequentially, limiting throughput and access to non-local physical properties. Here we design and implement a multiplexed NV sensing platform that allows us to read out many single NV centers simultaneously using a low-noise camera. We coherently manipulate and read out the spin states of hundreds of individual NV centers in parallel and implement a parallelized version of spin-to-charge-conversion readout for low spin state readout noise to demonstrate multiplexed covariance magnetometry, in which we measure six two-point magnetic field correlators from four NV centers simultaneously. In contrast to scanning probes for imaging spatially varying magnetic fields, our approach measures the temporal dynamics of the magnetic field at many precisely defined positions simultaneously, from which the local noise spectrum and non-local properties such as correlation functions can be computed. This will find immediate applications in studying condensed matter phenomena characterized by the noise spectrum or correlation functions, including quantum phase transitions, dynamics far from equilibrium, magnetic order, and correlated electron phenomena. In this presentation, I will describe our recent progress in studying correlated phenomena in thin-film superconductors with this multiplexing platform.
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Publication: "Massively multiplexed nanoscale magnetometry with diamond quantum sensors", arXiv:2408.11666 [quant-ph]
Presenters
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Kai-Hung Cheng
Princeton University
Authors
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Kai-Hung Cheng
Princeton University
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Zeeshawn Kazi
Princeton University
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Jared D Rovny
Princeton University
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Bichen Zhang
Princeton University
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Lila S Nassar
Princeton University, Georgia Institute of Technology
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Faranak Bahrami
Princeton University
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Yifan Zhang
Princeton University
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Rhine Samajdar
Princeton University
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Sarang Gopalakrishnan
Princeton University, Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ 08544, Princeton University Princeton
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Jeff D Thompson
Princeton University
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Nathalie P de Leon
Princeton University