We present a method for optimizing quantum control in experimental systems, using a subset of randomized benchmarking measurements to rapidly infer error. This is demonstrated to improve single- and two-qubit gates, minimize gate bleedthrough, where a gate mechanism can cause errors on subsequent gates, and identify control crosstalk in superconducting qubits. This method is able to correct parameters to where control errors no longer dominate, and is suitable for automated and closed-loop optimization of experimental systems.
@article{arxiv.1403.0035,
title = {Optimal quantum control using randomized benchmarking},
author = {J. Kelly and R. Barends and B. Campbell and Y. Chen and Z. Chen and B. Chiaro and A. Dunsworth and A. G. Fowler and I. -C. Hoi and E. Jeffrey and A. Megrant and J. Mutus and C. Neill and P. J. J. O`Malley and C. Quintana and P. Roushan and D. Sank and A. Vainsencher and J. Wenner and T. C. White and A. N. Cleland and John M. Martinis},
journal= {arXiv preprint arXiv:1403.0035},
year = {2014}
}