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Direct Detection of Surface Spins using Superconducting Qubits

ORAL

Abstract

Superconducting circuits are a promising platform for quantum sensing and information processing - applications which benefit from high coherence and minimal parasitic environmental coupling. A major impediment to realizing these traits is the presence of low-frequency magnetic flux noise which, in the case of flux-tunable qubits, promotes qubit dephasing. Flux noise is commonly blamed on the presence of paramagnetic surface environments created by adsorbed species such as molecular oxygen. We discuss the theory and experimental progress of high-sensitivity magnetic resonance experiments utilizing superconducting qubits with an applied in-plane magnetic field to detect parasitically coupled spins. Specifically, we focus on two categories of techniques: 1) passive techniques without spin excitation, and 2) active techniques that utilize spin excitation with local flux lines. Regarding passive methods, we discuss spin-locking and dynamical decoupling schemes. Regarding active methods, we implement local flux lines that strongly couple to native defects on the surface of SQUIDs and discuss schemes using either pulsed or continuous-wave surface spin driving.

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Presenters

  • David A Rower

    MIT, Department of Physics, Massachusetts Institute of Technology MIT

Authors

  • David A Rower

    MIT, Department of Physics, Massachusetts Institute of Technology MIT

  • Lauren Li

    Massachusetts Institute of Technology MIT

  • Lamia Ateshian

    Massachusetts Institute of Technology MIT

  • Bharath Kannan

    Massachusetts Institute of Technology MIT, Massachusetts Institute of Technology MI

  • Kyle Serniak

    MIT Lincoln Lab, MIT Lincoln Laboratory

  • Dolev Bluvstein

    Harvard University

  • Leon Ding

    Massachusetts Institute of Technology MIT, Massachusetts Institute of Technology MI

  • Aziza Almanakly

    Massachusetts Institute of Technology, Massachusetts Institute of Technology MIT

  • Jochen Braumueller

    Massachusetts Institute of Technology MIT, Massachusetts Institute of Technology

  • 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

  • Jonilyn L Yoder

    MIT Lincoln Lab, MIT Lincoln Laboratory

  • Mollie E Schwartz

    MIT Lincoln Lab, MIT Lincoln Laboratory

  • Terry P Orlando

    Massachusetts Institute of Technology MIT

  • Joel I Wang

    Massachusetts Institute of Technology MIT, Massachusetts Institute of Technology MI

  • Simon Gustavsson

    Massachusetts Institute of Technology MIT, Massachusetts Institute of Technology

  • Riccardo Comin

    Massachusetts Institute of Technology MI, Massachusetts Institute of Technology, Massachusetts Institute of Technology MIT

  • 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