Planarization of Trimon Processors for On-Chip Integration and Scaling

POSTER

Abstract

Trimon processors are multimode superconducting devices that host three mutually coupled qubit modes with a shared dispersive readout, enabling native all-to-all interactions in a compact circuit. To date, most Trimon demonstrations have relied on 3D cavity implementations, which limit scaling to larger multi-qubit architectures [1,2]. To enable on-chip elements that can enhance coherence and control—such as Purcell filters and tunable couplers—a planar realization is therefore desirable. Here, we investigate a planar "pedal Trimon" design that breaks the rotational ring symmetry of the original 3D Trimon while preserving its key Hamiltonian features, namely three anharmonic modes with native three-body couplings. We show that this planar layout retains Trimon-like operating characteristics while providing a geometry more amenable to on-chip microwave engineering and scalable superconducting quantum processors.

*The devices in this research were fabricated at MIT Lincoln Laboratory under the program Superconducting Qubits at Lincoln Laboratory (SQUILL).

Publication: [1] T. Roy, S. Kundu, M. Chand, S. Hazra, N. Nehra, R. Vijay, and A. R. Harshan, "Implementation of pairwise longitudinal coupling in a three-qubit superconducting circuit," Phys. Rev. Applied 7, 054025 (2017).
[2] T. Roy, S. Hazra, S. Kundu, M. Chand, M. P. Patankar, and R. Vijay, "Programmable superconducting processor with native three-qubit gates," Phys. Rev. Applied 14, 014072 (2020).

Presenters

  • Sophi Chen Song

    • University of California, Los Angeles

Authors

  • Sophi Chen Song

    • University of California, Los Angeles
  • Renjie Kang

    • University of California, Los Angeles
    • University of California Los Angeles
  • Murat Can Sarihan

    • University of California, Los Angeles
    • Google
  • Cody S Fan

    • University of California, Los Angeles
  • Jin Ho Kang

    • University of California, Los Angeles
  • Wei-Che Hsu

    • University of California, Los Angeles
  • Chee Wei Wong

    • University of California, Los Angeles