Sequential Bayesian Experiment Design for Optically Detected Magnetic Resonance of Nitrogen-Vacancy Centers

Dushenko, Sergey; Ambal, Kapildeb; McMichael, Robert D.

doi:10.1103/physrevapplied.14.054036

Cited by 36 publications

(25 citation statements)

References 51 publications

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“…The efficiency gains produced by sequential Bayesian experiment design in this work are significant, but modest compared to the order-of-magnitude gains previously reported for measurements of peaks on a wide, flat background. 55 We explain this difference noting that measurements in the broad background of a spectrum offer little compared to the information-rich settings near the peaks, so large gains are possible by focusing measurements on the peak regions. In contrast, the Ramsey measurements tend to be informative over a larger range of setting values.…”

Section: Discussionmentioning

confidence: 99%

“…More detailed descriptions may be found in the references. [51][52][53][54][55][56] Bayesian experiment design combines Bayesian inference with decision theory to provide an adaptive method for choosing measurement settings. A review by Chaloner and Verdinelli 51 describes the development of the methods.…”

Section: Experiments Designmentioning

confidence: 99%

“…A previous paper demonstrated order-of-magnitude efficiency gains through sequential Bayesian experiment design in an optically detected magnetic resonance experiment. 55 The first task of Bayesian experiment design is to incorporate new measurement data, using Bayesian inference to refine the parameter probability distribution. Bayes' rule yields the posterior parameter distribution P (θ|n s , m s ) given n s signal photons counted in m s sequences.…”

Section: Experiments Designmentioning

confidence: 99%

“…The improvement metric, or utility targets reduction in the information entropy of the parameter distribution. Utility calculations are made for all allowed settings, and settings yielding high utility values are selected for future measurements 51,52,54,55 . A nonrigorous interpretation of this method is that high-utility settings tend to be those where the parameter distribution produces a wide distribution of modeled values compared to measurement noise.…”

Section: Experiments Designmentioning

confidence: 99%

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Sequential Bayesian experiment design for adaptive Ramsey sequence measurements

McMichael,

Dushenko,

Blakley

2021

Preprint

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The Ramsey sequence is a canonical example of a quantum phase measurement for a spin qubit. In Ramsey measurements, the measurement efficiency can be optimized through careful selection of settings for the phase accumulation time setting, τ . This paper implements a sequential Bayesian experiment design protocol for the phase accumulation time in low-fidelity Ramsey measurements, and performance is compared to both a previously reported adaptive heuristic protocol and random setting choices. A workflow allowing measurements and design calculations to run concurrently largely eliminates computation time from measurement overhead. When precession frequency is the lone parameter to estimate, the Bayesian design is faster by factors of 2 and 4 relative to the adaptive heuristic and random protocols respectively.

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Section: Discussionmentioning

confidence: 99%

Section: Experiments Designmentioning

confidence: 99%

Section: Experiments Designmentioning

confidence: 99%

Section: Experiments Designmentioning

confidence: 99%

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Sequential Bayesian experiment design for adaptive Ramsey sequence measurements

McMichael,

Dushenko,

Blakley

2021

Preprint

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“…Additionally, measurement and processing of the ODMR signal, such as determining which microwave frequencies to scan and where the peaks are located could be tackled, for example, using Bayesian design. 152 Such an automated setup would greatly improve the ease of use of the widefield NV microscope, and enable rapid sample exchange for high throughput measurements.…”

Section: Automationmentioning

confidence: 99%

Widefield quantum microscopy with nitrogen-vacancy centers in diamond: strengths, limitations, and prospects

Scholten,

Healey,

Robertson

et al. 2021

Preprint

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A dense layer of nitrogen-vacancy (NV) centers near the surface of a diamond can be interrogated in a widefield optical microscope to produce spatially resolved maps of local quantities such as magnetic field, electric field and lattice strain, providing potentially valuable information about a sample or device placed in proximity. Since the first experimental realization of such a widefield NV microscope in 2010, the technology has seen rapid development and demonstration of applications in various areas across condensed matter physics, geoscience and biology. This Perspective analyzes the strengths and shortcomings of widefield NV microscopy in order to identify the most promising applications and guide future development. We begin with a brief review of quantum sensing with ensembles of NV centers, and the experimental implementation of widefield NV microscopy. We then compare this technology to alternative microscopy techniques commonly employed to probe magnetic materials and charge flow distributions. Current limitations in spatial resolution, measurement accuracy, magnetic sensitivity, operating conditions and ease of use, are discussed. Finally, we identify the technological advances that solve the aforementioned limitations, and argue that their implementation would result in a practical, accessible, high-throughput widefield NV microscope.

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