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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.

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