Distinguishing multi-spin interactions from lower order effects

ORAL

Abstract

Multi-spin interactions can be engineered with artificial quantum spins. However, it is challenging to verify such interactions experimentally. We describe two methods to characterize $n$-local coupling of $n$ spins. First, we analyze the variation of the transition energy of the static system as a function of local spin fields. Generally accessible measurement techniques are used to distinguish $n$-local interactions between up to five spins from lower-order contributions in the presence of noise and spurious fields and couplings. Second, we show a detection technique that relies on time-dependent driving of the coupling term. Generalizations to larger system sizes are analyzed for both static and dynamic detection methods, and we find that the dynamic method is asymptotically optimal when increasing the system size. The proposed methods enable robust exploration of multi-spin interactions across a broad range of both coupling strengths and qubit modalities.

*This research was funded by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA); and by the Under Secretary of Defense for Research and Engineering under Air Force Contract No. FA8702-15-D-0001. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of ODNI, IARPA, or the U.S. Government.

Presenters

  • Thomas R Bergamaschi

    • Department of Physics, Massachusetts Institute of Technology
    • Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA

Authors

  • Thomas R Bergamaschi

    • Department of Physics, Massachusetts Institute of Technology
    • Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
  • Tim Menke

    • Harvard University, Massachusetts Institute of Technology Research Laboratory of Electronics
    • Harvard University
  • William P Banner

    • Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science
    • Massachusetts Institute of Technology MI
  • Agustin Di Paolo

    • Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    • Universite de Sherbrooke
    • MIT
    • Massachusetts Institute of Technology MIT
    • Research Laboratory of Electronics, Massachusetts Institute of Technology
    • Massachusetts Institute of Technology
  • Cyrus F Hirjibehedin

    • MIT Lincoln Lab
  • Steven J Weber

    • MIT Lincoln Lab
  • Andrew J Kerman

    • 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