Related papers: Optimal control of a nitrogen-vacancy spin ensemble in diamond for sensing in the pulsed domain

Optimal control of a nitrogen-vacancy spin ensemble in diamond for sensing in the pulsed domain

URL: http://arxiv.org/abs/2101.10049v1
Date: Mon, 25 Jan 2021 13:01:05 GMT
Title: Optimal control of a nitrogen-vacancy spin ensemble in diamond for sensing in the pulsed domain
Authors: Andreas F.L. Poulsen, Joshua D. Clement, James L. Webb, Rasmus H. Jensen, Kirstine Berg-S{\o}rensen, Alexander Huck, Ulrik Lund Andersen
Abstract summary: Defects in solid state materials provide an ideal platform for quantum sensing. Control of such an ensemble is challenging due to the spatial variation in both the defect energy levels and in any control field across a macroscopic sample. We experimentally demonstrate that we can overcome these challenges using Floquet theory and optimal control optimization methods.
Score: 52.77024349608834
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Defects in solid state materials provide an ideal, robust platform for quantum sensing. To deliver maximum sensitivity, a large ensemble of non-interacting defects hosting coherent quantum states are required. Control of such an ensemble is challenging due to the spatial variation in both the defect energy levels and in any control field across a macroscopic sample. In this work we experimentally demonstrate that we can overcome these challenges using Floquet theory and optimal control optimization methods to efficiently and coherently control a large defect ensemble, suitable for sensing. We apply our methods experimentally to a spin ensemble of up to 4 $\times$ 10$^9$ nitrogen vacancy (NV) centers in diamond. By considering the physics of the system and explicitly including the hyperfine interaction in the optimization, we design shaped microwave control pulses that can outperform conventional ($\pi$-) pulses when applied to sensing of temperature or magnetic field, with a potential sensitivity improvement between 11 and 78\%. Through dynamical modelling of the behaviour of the ensemble, we shed light on the physical behaviour of the ensemble system and propose new routes for further improvement.

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