Spatial noise filtering through new error-correcting codes for quantum sensing

ORAL

Abstract

Quantum systems can be used to measure various quantities in their environment with high precision. Often, however, their sensitivity is limited by the decohering effects of this same environment. Dynamical decoupling schemes are widely used to filter environmental noise from signals, but their performance is limited by the spectral properties of the signal and noise at hand. Quantum error correction schemes have therefore emerged as a complementary technique without the same limitations. To date, however, they have failed to correct the dominant noise type in many quantum sensors, which couples to each qubit in a sensor in the same way as the signal. We show how quantum error correction can correct for such noise, which dynamical decoupling can only partially address. Whereas dynamical decoupling exploits temporal noise correlations in signal and noise, our scheme exploits spatial correlations. To this end, we introduce a new family of quantum error-correcting codes for sensing, which are both application- and hardware-adapted.

Presenters

  • David Layden

    Research Laboratory of Electronics, Massachusetts Institute of Technology, Massachusetts Institute of Technology

Authors

  • David Layden

    Research Laboratory of Electronics, Massachusetts Institute of Technology, Massachusetts Institute of Technology

  • Sisi Zhou

    Department of Physics, Yale University, Yale Quantum Institute, Yale University

  • Liang Jiang

    Yale Univ, Department of Physics, Yale University, Yale Quantum Institute, Yale University

  • 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