Optimal quantum control using randomized benchmarking

A. Dunsworth; A. G. Fowler; A. Megrant; A. N. Cleland; A. Vainsencher; B. Campbell; B. Chiaro; C. Neill; C. Quintana; D. Sank

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Optimal quantum control using randomized benchmarking

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arxiv 1403.0035 v1 pith:AXG6OKHA submitted 2014-03-01 quant-ph cond-mat.mes-hallcond-mat.supr-con

J. Kelly , R. Barends , B. Campbell , Y. Chen , Z. Chen , B. Chiaro , A. Dunsworth , A. G. Fowler

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I.-C. Hoi E. Jeffrey A. Megrant J. Mutus C. Neill P. J. J. O`Malley C. Quintana P. Roushan D. Sank A. Vainsencher J. Wenner T. C. White A. N. Cleland John M. Martinis

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classification quant-phcond-mat.mes-hallcond-mat.supr-con

keywords controlbenchmarkingerrorsexperimentalgategatesmethodquantum

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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.

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