Qutrit Entanglement With Differential AC Stark Shift

ORAL

Abstract

Ternary quantum information processing in circuit quantum electrodynamics devices poses a promising alternative to its more popular binary counterpart through larger computational spaces and proposed more efficient error correction schemes. Recent advancements in ternary quantum computing, such as qutrit randomized benchmarking and quantum information scrambling on a qutrit device, have been key in enabling qutrit development and in demonstrating its value in quantum simulation. However, effectively engineering two qutrit entanglement remains a central challenge towards realizing ternary quantum information processing. In this work, we present a generalized Joint Amplification of ZZ (JAZZ) method for measuring the entanglement between two nearest neighbor transmon qutrits. Leveraging this method, we apply the differential AC Stark shift to enable larger driven ZZ interactions and implement a scheme for an efficient two qutrit C-Phase gate.

*This work was supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research Quantum Testbed Program under Contract No. DE-AC02-05CH11231.

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Presenters

  • Noah Goss

    • University of California Berkeley

Authors

  • Noah Goss

    • University of California Berkeley

  • Alexis Morvan

    • Lawrence Berkeley National Laboratory

  • Brad Mitchell

    • Lawrence Berkeley National Laboratory

  • Brian Marinelli

    • University of California, Berkeley
    • Computational Research Division, Lawrence Berkeley National Lab

  • Ravi K Naik

    • University of California, Berkeley
    • Lawrence Berkeley National Laboratory

  • David I Santiago

    • Lawrence Berkeley National Laboratory
    • Computational Research Division, Lawrence Berkeley National Lab

  • Irfan Siddiqi

    • University of California, Berkeley
    • Applied Mathematics and Computational Research and Materials Sciences Divisions, LBNL
    • Lawrence Berkeley National Laboratory
    • Applied Mathematics, Computational Research and Materials Sciences Divisions, Lawrence Berkeley National Lab