Sequential Bayesian experiment design for adaptive Ramsey sequence measurements.

Published

October 11, 2021

Author(s)

Robert D. McMichael, Sergey Dushenko, Sean Blakley

Abstract

The Ramsey sequence is a canonical example of a quantum phase determination for a spin qubit, but when readout fidelity is low, as with NV centers, measurement efficiency can be increased by focusing measurement resources on the most productive settings. This paper proposes a sequential Bayesian experiment design protocol for the phase accumulation time and compares it to both a previously reported adaptive heuristic protocol and random setting choices. A work flow 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.

Citation

Journal of Applied Physics

Volume

130

Issue

14

Pub Type

Journals

Download Paper

https://doi.org/10.1063/5.0055630

Local Download

Keywords

NV centers, Ramsey, Bayesian, experiment design

Citation

McMichael, R. , Dushenko, S. and Blakley, S. (2021), Sequential Bayesian experiment design for adaptive Ramsey sequence measurements., Journal of Applied Physics, [online], https://doi.org/10.1063/5.0055630, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=932411 (Accessed October 9, 2025)