Optimal quantum control using randomized benchmarking

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

160 Scopus Citations
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Author(s)

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

Detail(s)

Original languageEnglish
Article number240504
Journal / PublicationPhysical Review Letters
Volume112
Issue number24
Publication statusPublished - 20 Jun 2014
Externally publishedYes

Abstract

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 so that control errors no longer dominate and is suitable for automated and closed-loop optimization of experimental systems. © 2014 American Physical Society.

Bibliographic Note

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Citation Format(s)

Optimal quantum control using randomized benchmarking. / Kelly, J.; Barends, R.; Campbell, B. et al.
In: Physical Review Letters, Vol. 112, No. 24, 240504, 20.06.2014.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review