Flux crosstalk as an optimization problem

ORAL

Abstract

Flux crosstalk is an important control issue for scaling up quantum computers based on superconducting qubits. The number of measurements required to calibrate crosstalk usually scales at least quadratically with the number of control channels, and becomes worse when the circuit elements interact strongly. Here we propose a new method for calibrating flux crosstalk for superconducting circuits. Using the fundamental property that superconducting circuits respond periodically to external fluxes, crosstalk calibration of N flux channels can be treated as N independent optimization problems, with the optimization metric being the periodicity of a measured signal. We show experimental results on a small-scale quantum annealer, which indicates that the optimization problem is convex given reasonable initial estimates of the crosstalk, and can thus be efficiently solved.

*The research is based upon work supported by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA) and the Defense Advanced Research Projects Agency (DARPA), via the U.S. Army Research Office contract W911NF-17-C-0050.

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Presenters

  • Adrian Lupascu

    • University of Waterloo, Canada
    • University of Waterloo

Authors

  • Xi Dai

    • University of Waterloo

  • Robbyn Trappen

    • University of Waterloo

  • Rui Yang

    • University of Waterloo

  • Rabindra Das

    • Massachusetts Institute of Technology MIT
    • MIT Lincoln Lab

  • David K Kim

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory

  • Alexander Melville

    • MIT Lincoln Laboratory
    • MIT Lincoln Lab

  • Bethany M Niedzielski

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory

  • Cyrus F Hirjibehedin

    • MIT Lincoln Lab

  • Steven J Weber

    • MIT Lincoln Lab

  • Jonilyn L Yoder

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory

  • Joseph M Gibson

    • Dartmouth College

  • 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

  • Steven M Disseler

    • MIT Lincoln Lab

  • James I Basham

    • MIT Lincoln Laboratory
    • MIT Lincoln Lab

  • Sergey Novikov

    • Northrop Grumman Corporation

  • Adrian Lupascu

    • University of Waterloo, Canada
    • University of Waterloo