Hamiltonian engineering for quantum sensing

ORAL

Abstract

Quantum sensing utilizes the interaction between the quantum sensor and the object to be detected. However, limited by the intrinsic system Hamiltonian or experimental capabilities, the implementable Hamiltonian evolution may not be optimal to reveal the information of the target object. Inspired by digital quantum simulation, here we present a general framework in which we use Trotter-like combinations of unitaries to engineer better Hamiltonians for sensing and provide an efficient protocol to reduce the approximation error. We show the application of Hamiltonian engineering to nano-scale magnetic resonance imaging.

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Presenters

  • Yi-Xiang Liu

    Nuclear Science and Engineering, Massachusetts Institute of Technology, Massachusetts Institute of Technology

Authors

  • Yi-Xiang Liu

    Nuclear Science and Engineering, Massachusetts Institute of Technology, Massachusetts Institute of Technology

  • Ashok Ajoy

    University of California, Berkeley, University of California Berkeley, Department of Chemistry, University of California Berkeley

  • Jordan Hines

    Massachusetts Institute of Technology, Physics, Massachusetts Institute of Technology

  • Paola Cappellaro

    Nuclear Science and Engineering, Massachusetts Institute of Technology, Massachusetts Institute of Technology, Research Laboratory of Electronics, Massachusetts Institute of Technology, Research Laboratory of Electronics and Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, MIT