Demonstration of Fidelity Improvement Using Dynamical Decoupling with Superconducting Qubits

Bibek Pokharel, Namit Anand, Benjamin Fortman, and Daniel A. Lidar
Phys. Rev. Lett. 121, 220502 – Published 29 November 2018
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Abstract

Quantum computers must be able to function in the presence of decoherence. The simplest strategy for decoherence reduction is dynamical decoupling (DD), which requires no encoding overhead and works by converting quantum gates into decoupling pulses. Here, using the IBM and Rigetti platforms, we demonstrate that the DD method is suitable for implementation in today’s relatively noisy and small-scale cloud-based quantum computers. Using DD, we achieve substantial fidelity gains relative to unprotected, free evolution of individual superconducting transmon qubits. To a lesser degree, DD is also capable of protecting entangled two-qubit states. We show that dephasing and spontaneous emission errors are dominant in these systems, and that different DD sequences are capable of mitigating both effects. Unlike previous work demonstrating the use of quantum error correcting codes on the same platforms, we make no use of postselection and hence report unconditional fidelity improvements against natural decoherence.

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  • Received 4 August 2018

DOI:https://doi.org/10.1103/PhysRevLett.121.220502

© 2018 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Bibek Pokharel1,*, Namit Anand2, Benjamin Fortman3, and Daniel A. Lidar1,2,3,4

  • 1Department of Electrical Engineering, University of Southern California, Los Angeles, California 90089, USA
  • 2Department of Physics and Astronomy, University of Southern California, Los Angeles, California 90089, USA
  • 3Department of Chemistry, University of Southern California, Los Angeles, California 90089, USA
  • 4Center for Quantum Information Science & Technology, University of Southern California, Los Angeles, California 90089, USA

  • *Corresponding author. pokharel@usc.edu.

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Issue

Vol. 121, Iss. 22 — 30 November 2018

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