Optimizing phase estimation algorithms for diamond spin magnetometry

Abstract

We present a detailed theoretical and numerical study discussing the application and optimization of phase estimation algorithms (PEAs) to diamond spin magnetometry. We compare standard Ramsey magnetometry, the non-adaptive PEA (NAPEA) and quantum PEA (QPEA) incorporating error-checking. Our results show that the NAPEA requires lower measurement fidelity, has better dynamic range, and greater consistency in sensitivity. We elucidate the importance of dynamic range to Ramsey magnetic imaging with diamond spins, and introduce the application of PEAs to time-dependent magnetometry.

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Cited by in corpus (7)

• Simple expression for the quantum Fisher information matrix
• Estimation of Gaussian quantum states
• Bayesian estimation for quantum sensing in the absence of single-shot detection
• Detecting magnetic fields using Nitrogen-Vacancy Centers
• Adaptive Bayesian algorithm for achieving desired quantum transition
• Quantum enhanced optical phase estimation with a squeezed thermal state
• Sensing high-frequency ac fields via a two-qubit sensor