Optimal Quantum Control Using Randomized Benchmarking

J. Kelly, R. Barends, B. Campbell, Y. Chen, Z. Chen, B. Chiaro, A. Dunsworth, A. G. Fowler, 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, and John M. Martinis
Phys. Rev. Lett. 112, 240504 – Published 20 June 2014
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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.

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  • Received 11 March 2014

DOI:https://doi.org/10.1103/PhysRevLett.112.240504

© 2014 American Physical Society

Authors & Affiliations

J. Kelly1, R. Barends1, B. Campbell1, Y. Chen1, Z. Chen1, B. Chiaro1, A. Dunsworth1, A. G. Fowler1,2, I.-C. Hoi1, E. Jeffrey1, A. Megrant1, J. Mutus1, C. Neill1, P. J. J. O’Malley1, C. Quintana1, P. Roushan1, D. Sank1, A. Vainsencher1, J. Wenner1, T. C. White1, A. N. Cleland1, and John M. Martinis1

  • 1Department of Physics, University of California, Santa Barbara, California 93106, USA
  • 2Centre for Quantum Computation and Communication Technology, School of Physics, The University of Melbourne, Victoria 3010, Australia

See Also

Adaptive Hybrid Optimal Quantum Control for Imprecisely Characterized Systems

D. J. Egger and F. K. Wilhelm
Phys. Rev. Lett. 112, 240503 (2014)

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Vol. 112, Iss. 24 — 20 June 2014

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