Fast, Scalable Calibration of a Quantum Annealer

ORAL

Abstract

Quantum annealers require a variety of calibration procedures, including calibration of crosstalk between flux bias lines, characterization of coupler strengths and qubit Ising parameters as a function of control flux, and optimization of readout.  Flux crosstalk in particular can be data intensive as the number of individual measurements scales as O(N2) with the number of control biases.

We provide details on methods developed to increase the velocity of data acquisition such that data for an individual calibrated value can be collected and analyzed in a few seconds. Characterization methods are described for calibrating as-fabbed circuit parameters for each individual circuit element to increase control precision. These are considered in the context of calibration and control of a 25-qubit quantum annealer with individual control, having over 200 flux control lines.

This material is based upon work supported by the Defense Advanced Research Projects Agency under Air Force Contract No. FA8702-15-D-0001. Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Defense Advanced Research Projects Agency.

–

Presenters

  • James I Basham

    • MIT Lincoln Laboratory
    • MIT Lincoln Lab

Authors

  • James I Basham

    • MIT Lincoln Laboratory
    • MIT Lincoln Lab

  • Steven M Disseler

    • MIT Lincoln Lab

  • Cyrus F Hirjibehedin

    • MIT Lincoln Lab

  • Bryce Fisher

    • MIT Lincoln Lab

  • Vladimir Bolkhovsky

    • MIT Lincoln Lab

  • John Cummings

    • MIT Lincoln Lab

  • Rabindra Das

    • Massachusetts Institute of Technology MIT
    • MIT Lincoln Lab

  • David K Kim

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory

  • Jeffrey M Knecht

    • MIT Lincoln Lab

  • Justin L Mallek

    • MIT Lincoln Lab

  • Bethany M Niedzielski

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory

  • Ravi Rastogi

    • MIT Lincoln Lab

  • Danna Rosenburg

    • MIT Lincoln Lab

  • Kyle Serniak

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory

  • Donna-Ruth W Yost

    • MIT Lincoln Lab

  • Scott Zarr

    • MIT Lincoln Lab

  • Jeffrey A Grover

    • Massachusetts Institute of Technology MI
    • Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science
    • Massachusetts Institute of Technology MIT
    • Northrop Grumman - Mission Systems
    • Massachusetts Institute of Technology

  • Joseph Gibson

    • Dartmouth College

  • Kenneth Zick

    • Northrop Grumman Corporation

  • Sergey Novikov

    • Northrop Grumman Corporation

  • Steven J Weber

    • MIT Lincoln Lab

  • William D Oliver

    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology Research Laboratory of Electronics
    • MIT Lincoln Laboratory and Department of Electrical Engineering & Computer Science and Department of Physics, Massachusetts Institute of Technology

  • Jonilyn L Yoder

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory