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Characterizing Midcircuit Measurements on a Superconducting Qubit Using Gate Set Tomography

Kenneth Rudinger, Guilhem J. Ribeill, Luke C.G. Govia, Matthew Ware, Erik Nielsen, Kevin Young, Thomas A. Ohki, Robin Blume-Kohout, and Timothy Proctor
Phys. Rev. Applied 17, 014014 – Published 12 January 2022

Abstract

Measurements that occur within the internal layers of a quantum circuit—midcircuit measurements—are a useful quantum-computing primitive, most notably for quantum error correction. Midcircuit measurements have both classical and quantum outputs, so they can be subject to error modes that do not exist for measurements that terminate quantum circuits. Here we show how to characterize midcircuit measurements, modeled by quantum instruments, using a technique that we call quantum instrument linear gate set tomography (QILGST). We then apply this technique to characterize a dispersive measurement on a superconducting transmon qubit within a multiqubit system. By varying the delay time between the measurement pulse and subsequent gates, we explore the impact of residual cavity photon population on measurement error. QILGST can resolve different error modes and quantify the total error from a measurement; in our experiment, for delay times above 1000ns we measure a total error rate (i.e., half diamond distance) of ϵ=8.1±1.4%, a readout fidelity of 97.0±0.3%, and output quantum-state fidelities of 96.7±0.6% and 93.7±0.7% when measuring 0 and 1, respectively.

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  • Received 17 March 2021
  • Revised 4 November 2021
  • Accepted 18 November 2021

DOI:https://doi.org/10.1103/PhysRevApplied.17.014014

© 2022 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Kenneth Rudinger1,*, Guilhem J. Ribeill2,†, Luke C.G. Govia2, Matthew Ware2, Erik Nielsen1, Kevin Young3, Thomas A. Ohki2, Robin Blume-Kohout1, and Timothy Proctor3

  • 1Quantum Performance Laboratory, Sandia National Laboratories, Albuquerque, New Mexico 87185, USA
  • 2Quantum Engineering and Computing, Raytheon BBN Technologies, 10 Moulton Street, Cambridge, MA 02138, USA
  • 3Quantum Performance Laboratory, Sandia National Laboratories, Livermore, California 94550, USA

  • *kmrudin@sandia.gov
  • guilhem.ribeill@raytheon.com

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Vol. 17, Iss. 1 — January 2022

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