Hamiltonian engineering with constrained optimization for quantum sensing and control
Name
O’Keeffe_2019_New_J._Phys._21_023015.pdf
Description
Published version
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1.07 MB
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Adobe PDF
Checksum (MD5)
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Author(s) • • • •
O’Keeffe, Michael F
Horesh, Lior
Barry, John F
Braje, Danielle A
Chuang, Isaac L
Date Issued
February 2019
Journal
New Journal of Physics
Publisher
IOP Publishing
Citation
O’Keeffe, Michael F. et al. "Hamiltonian engineering with constrained optimization for quantum sensing and control." New Journal of Physics, 21, 2 (February 2019): 023015 © 2019 The Author(s).
Version
Final published version
Abstract
While quantum devices rely on interactions between constituent subsystems and with their environment to operate, native interactions alone often fail to deliver targeted performance. Coherent pulsed control provides the ability to tailor effective interactions, known as Hamiltonian engineering. We propose a Hamiltonian engineering method that maximizes desired interactions while mitigating deleterious ones by conducting a pulse sequence search using constrained optimization. The optimization formulation incorporates pulse sequence length and cardinality penalties consistent with linear or integer programming. We apply the general technique to magnetometry with solid state spin ensembles in which inhomogeneous interactions between sensing spins limit coherence. Defining figures of merit for broadband Ramsey magnetometry, we present novel pulse sequences which outperform known techniques for homonuclear spin decoupling in both spin-1/2 and spin-1 systems. When applied to nitrogen vacancy (NV) centers in diamond, this scheme partially preserves the Zeeman interaction while zeroing dipolar coupling between negatively charged NV - centers. Such a scheme is of interest for NV - magnetometers which have reached the NV - -NV - coupling limit. We discuss experimental implementation in NV ensembles, as well as applicability of the current approach to more general spin bath decoupling and superconducting qubit control.
Subjects
General Physics and Astronomy
MIT Department
Lincoln Laboratory
Massachusetts Institute of Technology. Department of Physics
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
Terms of Use
Creative Commons Attribution 3.0 unported license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1088/1367-2630/ab00be