Noise suppression in superconducting qubits through on-demand cavity cooling and optimal control

ORAL

Abstract

Noise suppression techniques that extend qubit lifetimes, such as reservoir engineering and optimal control, are crucial ingredients for NISQ-era superconducting quantum devices. While control techniques such as dynamical decoupling have been widely adopted in compiling circuits to run quantum algorithms, so far, few experimental studies have co-designed a qubit's control pulses with its dissipative environment. We design a transmon qubit with an effective tunable environment by coupling its readout resonator to an auxiliary lossy mode. We experimentally test that we can effectively remove spurious excitation from the qubit's environment on-demand through a parametrically driven coupling. Furthermore, we study the qubit noise characteristics and explore optimal control strategies for suppressing the engineered, tunable bath. We anticipate that this work will provide insights into noise suppression in superconducting qubits both on the hardware and software levels.

*Work supported by NSF under OMA-1936388, ONR under N0014-21-1-2688, and RCSA under Cottrell Scholar grant 27550. Devices provided by the MIT Lincoln Laboratory SQUILL foundry.

Presenters

  • Haimeng Zhang

    • University of Southern California

Authors

  • Haimeng Zhang

    • University of Southern California
  • Darian M Hartsell

    • Georgia Tech Research Institute
    • University of Southern California
  • Evangelos Vlachos

    • University of Southern California
  • Sacha R Greenfield

    • University of Southern California
  • Azarin Zarassi

    • University of Southern California
  • Vivek Maurya

    • University of Southern California
  • Clark Miyamoto

    • University of Southern Califronia
  • Jocelyn Liu

    • University of Southern California
  • James T Farmer

    • University of Southern California
  • Daria Kowsari

    • Washington University in Saint Louis
    • Washington University, St. Louis
    • Washington University
  • Kater Murch

    • Washington University in Saint Louis
    • Washington University, St. Louis
  • Daniel A Lidar

    • University of Southern California
  • Eli Levenson-Falk

    • Univ of Southern California