Efficient and Versatile Control of a Long-Lived 3D Multimode Quantum Processing Unit

ORAL

Abstract

Superconducting radio-frequency (SRF) cavities, such as TESLA-shaped cavities, are excellent candidates for long-lived quantum memories. Integrating these cavities with nonlinear elements, such as transmons, enables universal quantum control; however, this integration can often introduce unwanted losses. In this talk, we present the successful integration of a long-lived 2-cell TESLA cavity with an ancillary qubit, forming a quantum processing unit (QPU) that allows for robust control while maintaining coherence. We demonstrate universal control of the QPU through various schemes, including ancilla-cavity sideband and echoed conditional displacement (ECD) methods, enabling fault-tolerant high-fidelity preparation of large Fock states and fast entanglement generation. These results illustrate the versatility and efficiency of our 3D quantum processing unit, paving the way for advanced quantum computing applications.

*This material is based upon work supported by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Superconducting Quantum Materials and Systems Center (SQMS) under contract number DE-AC02-07CH11359.

Publication: A Long-Lived Multimode Quantum Processing Unit with Versatile Universal Control, in preparation

Presenters

  • Taeyoon Kim

    • Northwestern University

Authors

  • Taeyoon Kim

    • Northwestern University
  • Yao Lu

    • Fermi National Accelerator Laboratory (Fermilab)
    • Fermilab
  • Tanay Roy

    • Fermi National Accelerator Laboratory (Fermilab)
    • Fermilab
  • Xinyuan You

    • Fermi National Accelerator Laboratory (Fermilab)
    • Fermilab
  • Oleg V Pronitchev

    • Fermi National Accelerator Laboratory (Fermilab)
    • Fermilab
    • Fermi National Accelerator Laboratory
  • Mustafa Bal

    • Fermi National Accelerator Laboratory
    • Fermi National Accelerator Laboratory (Fermilab)
    • Fermilab
  • Sabrina Garattoni

    • Fermilab
    • Fermi National Accelerator Laboratory (Fermilab)
    • Fermi National Accelerator Laboratory
  • Francesco Crisa

    • Fermi National Accelerator Laboratory
    • Fermilab
    • Fermilab, SQMS
    • Fermi National Accelerator Laboratory (Fermilab)
  • Daniel Bafia

    • Fermi National Accelerator Laboratory (Fermilab)
    • Fermilab
    • Fermi National Accelerator Laboratory
  • Roman M Pilipenko

    • Fermilab
    • Fermi National Accelerator Laboratory
  • Paul Heidler

    • Fermi National Accelerator Laboratory (Fermilab)
    • Fermilab
  • Andy C. Y. Li

    • Fermi National Accelerator Laboratory (Fermilab)
    • Fermilab
  • Yunwei Lu

    • Northwestern University
  • David V Zanten

    • Fermi National Accelerator Laboratory (Fermilab)
    • Fermilab
    • Fermi National Accelerator Laboratory
  • Silvia Zorzetti

    • Fermi National Accelerator Laboratory (Fermilab)
    • Fermilab
  • Roni Harnik

    • Fermi National Accelerator Laboratory (Fermilab)
    • Fermilab
  • Akshay Murthy

    • Fermi National Accelerator Laboratory
    • Fermi National Accelerator Laboratory (Fermilab)
    • Fermilab
  • Shaojiang Zhu

    • Fermi National Accelerator Laboratory (Fermilab)
    • Fermilab
    • Fermi National Accelerator Laboratory
  • André Vallières

    • Northwestern University
  • Ziwen Huang

    • Fermi National Accelerator Laboratory
    • Fermi National Accelerator Laboratory (Fermilab)
    • Fermilab
  • Jens Koch

    • Northwestern University
  • Anna Grassellino

    • Fermi National Accelerator Laboratory
    • Fermi National Accelerator Laboratory (Fermilab)
    • Fermilab
  • Srivatsan Chakram

    • Rutgers University
    • Rutgers, The State University of New Jersey
  • Alexander Romanenko

    • Fermi National Accelerator Laboratory
    • Fermi National Accelerator Laboratory (Fermilab)
    • Fermilab