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Sequential Bayesian experiment design for adaptive Ramsey sequence measurements.



Robert D. McMichael, Sergey Dushenko, Sean Blakley


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.
Journal of Applied Physics


NV centers, Ramsey, Bayesian, experiment design


McMichael, R. , Dushenko, S. and Blakley, S. (2021), Sequential Bayesian experiment design for adaptive Ramsey sequence measurements., Journal of Applied Physics, [online],, (Accessed April 13, 2024)
Created October 11, 2021, Updated November 29, 2022